ORCID Profile
0000-0001-7079-9717
Current Organisation
Deakin University
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Artificial Intelligence and Image Processing | Image Processing | Image Processing | Signal Processing | Analysis Of Algorithms And Complexity | Terrestrial Ecology | Other Earth Sciences | Land Capability and Soil Degradation | Coding and Information Theory | Coding And Information Theory | Pattern Recognition | Earth Sciences not elsewhere classified
ANZSRC Socio-Economic Objective (SEO)
Application Software Packages (excl. Computer Games) | Radio and Television Broadcasting | Data, image and text equipment | Land and Water Management of environments not elsewhere classified | Telecommunications | Information processing services | Communication services not elsewhere classified | Application tools and system utilities | Soils not elsewhere classified | Film and Video Services (excl. Animation and Computer Generated Imagery) | Expanding Knowledge in the Earth Sciences |
Related Links
Publications
An HVS-based motion vector composition algorithm for spatial resolution transcoding
Publisher: IEEE
Date: 2004
Tailoring Iridescent Visual Appearance with Disordered Resonant Metasurfaces
Publisher: American Chemical Society (ACS)
Date: 28-03-2023
EMAN: The Human Visual Feature Based No-Reference Subjective Quality Metric
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Predicting hot-spots in distributed cloud databases using association rule mining
Publisher: IEEE
Date: 12-2014
DOI: 10.1109/UCC.2014.130
Robust signature-based geometric invariant copyright protection
Publisher: IEEE
Date: 10-2006
Enhanced Colour Image Retrieval with Cuboid Segmentation
Publisher: IEEE
Date: 12-2019
Efficient coding of depth map by exploiting temporal correlation
Publisher: IEEE
Date: 11-2015
An algorithm for network and data-aware placement of multi-tier applications in cloud data centers
Publisher: Elsevier BV
Date: 11-2017
Fast intermode selection for HEVC video coding using phase correlation
Publisher: IEEE
Date: 11-2015
Cuboid Colour Image Segmentation Using Intuitive Distance Measure
Publisher: IEEE
Date: 11-2019
Background subtraction for real-time video analytics based on multi-hypothesis mixture-of-gaussians
Publisher: IEEE
Date: 09-2012
DOI: 10.1109/AVSS.2012.15
Analytical modeling of enhanced IEEE 802.11 with multiuser dynamic OFDMA under saturation load
Publisher: IEEE
Date: 10-2011
Modelling sensing radius for efficient wireless sensor deployment
Publisher: IEEE
Date: 10-2012
Improved depth coding for HEVC focusing on depth edge approximation
Publisher: Elsevier BV
Date: 07-2017
A Commonality Modeling Framework for Enhanced Video Coding Leveraging on the Cuboidal Partitioning Based Representation of Frames
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Passive detection of splicing and copy-move attacks in image forgery
Publisher: Springer International Publishing
Date: 2018
Dynamic event coverage in hybrid wireless sensor networks
Publisher: IEEE
Date: 08-2011
DOI: 10.1109/NCA.2011.62
An affine resilient curvature scale-space corner detector
Publisher: IEEE
Date: 04-2007
An Efficient Predictive Coding of Integers with Real-Domain Predictions Using Distributed Source Coding Techniques
Publisher: Springer Berlin Heidelberg
Date: 2006
A novel anonymization technique to trade off location privacy and data integrity in participatory sensing systems
Publisher: IEEE
Date: 09-2010
DOI: 10.1109/NSS.2010.73
On temporal order invariance for view-invariant action recognition
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2013
Efficient high-resolution video compression scheme using background and foreground layers
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
3 is a more promising algorithmic parameter than 2
Publisher: Elsevier BV
Date: 09-1998
Lossless depth map coding using binary tree based decomposition and context-based arithmetic coding
Publisher: IEEE
Date: 07-2016
Call admission control policy for multiclass traffic in heterogeneous wireless networks
Publisher: IEEE
Date: 10-2011
Theory of the Spontaneous Optical Emission of Nanosize Photonic and Plasmon Resonators
Publisher: American Physical Society (APS)
Date: 05-06-2013
Impact on vertical handoff decision algorithm by the network call admission control policy in heterogeneous wireless networks
Publisher: IEEE
Date: 09-2012
SIR Performance of Multipath Cellular Network for Quality Assured Multimedia Delivery
Publisher: IEEE
Date: 04-2016
Pattern based video coding
Publisher: IGI Global
Date: 2009
DOI: 10.4018/978-1-59904-887-1.CH026
Abstract: People’s demands are escalating with technology advances. Now, people are not happy with only text or voice messages, they like to see video as well. Video transmission through limited bandwidth, for ex le, an existing telephone line, requires an efficient video coding technique. Unfortunately, existing video coding standards have some limitations due to this demand. Recently, a pattern-based video coding technique has established its potentiality to improve the coding compared to the recent standard H.264 in the range of low bit rates. This chapter describes this technique with its background, features, recent developments, and future trends.
Adaptive weight factor estimation from user preferences for vertical handoff decision algorithms
Publisher: IEEE
Date: 03-2011
Range-free passive localization using static and mobile sensors
Publisher: IEEE
Date: 06-2012
Detecting Splicing and Copy-Move Attacks in Color Images
Publisher: IEEE
Date: 12-2019
Towards a New Paradigm for Digital Health Training and Education in Australia: Exploring the Implication of the Fifth Industrial Revolution
Publisher: MDPI AG
Date: 05-06-2023
DOI: 10.3390/APP13116854
Abstract: Digital transformation, characterised by advanced digitalisation, blockchain, the Internet of Things, artificial intelligence, machine learning technologies, and robotics, has played a key role in revolutionising various industries, especially the healthcare sector. The adoption of and transition (from traditional) to new technology will bring challenges, opportunities, and disruptions to existing healthcare systems. According to the European Union, we must pursue both digital and green transitions to achieve sustainable, human-centric, and resilient industries to achieve a world of prosperity for all. The study aims to present a novel approach to education and training in the digital health field that is inspired by the fifth industrial revolution paradigm. The paper highlights the role of training and education interventions that are required to support digital health in the future so that students can develop the capacity to recognise and exploit the potential of new technologies. This article will briefly discuss the challenges and opportunities related to healthcare systems in the era of digital transformation and beyond. Then, we look at the enabling technologies from an Industry 5.0 perspective that supports digital health. Finally, we present a new teaching and learning paradigm and strategies that embed Industry 5.0 technologies in academic curricula so that students can develop their capacities to embrace a digital future and minimise the disruption that will inevitably accompany it. By incorporating Industry 5.0 principles into digital health education, we believe students can gain a deeper understanding of the industry and develop skills that will enable them to deliver a more efficient, effective, and sustainable healthcare system.
A real-time pattern selection algorithm for very low bit-rate video coding using relevance and similarity metrics
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2005
Leveraging cuboids for better motion modeling in high efficiency video coding
Publisher: IEEE
Date: 05-2020
Measuring trustworthiness of IoT image sensor data using other sensors' complementary multimodal data
Publisher: IEEE
Date: 08-2019
Adversarial Network With Multiple Classifiers for Open Set Domain Adaptation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Cuboid Segmentation for Effective Image Retrieval
Publisher: IEEE
Date: 11-2017
Efficient low bit-rate intra-frame coding using common information for 360-degree video
Publisher: IEEE
Date: 21-09-2020
Bidirectional Mapping Coupled GAN for Generalized Zero-Shot Learning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Segmentation of dynamic textures
Publisher: IEEE
Date: 12-2007
Demand-driven movement strategy for moving beacons in distributed sensor localization
Publisher: Elsevier BV
Date: 2011
On dynamic scene geometry for view-invariant action matching
Publisher: IEEE
Date: 06-2011
A feature based approach for multiple temporal texture detection
Publisher: IEEE
Date: 2006
A Robust Local Texture Descriptor in the Parametric Space of the Weibull Distribution
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
An efficient pose estimation for limited-resourced MAVs using sufficient statistics
Publisher: IEEE
Date: 09-2015
Privacy in participatory sensing systems
Publisher: IGI Global
Date: 2012
DOI: 10.4018/978-1-4666-1888-6.CH006
Abstract: Participatory sensing is a revolutionary new paradigm where ordinary citizens voluntarily sense their environment using readily available sensor devices such as mobile phones and systematically study, and then reflect on and share this information using existing wireless networks. It provides data collection, processing, and dissemination opportunities for socially-responsible applications spanning environmental monitoring, intelligent transportation, and public health, which are often not cost-viable using dedicated sensing infrastructure. The uniqueness of the participatory sensing system lies in its data communication infrastructure which is constituted by the deliberate participation of community people. However, the potential lack of privacy of the participants in such system makes it harder to ensure their voluntary contribution. Thus preserving privacy of the in iduals contributing data has introduced a key challenge in this area. On the other hand, data integrity is desired imperatively to make the service trustworthy and user-friendly. Different interesting approaches have been proposed so far to protect privacy that will encourage participation of the owners of data sources in turn.
Fast coding strategy for HEVC by motion features and saliency applied on difference between successive image blocks
Publisher: Springer International Publishing
Date: 2016
A novel depth motion vector coding exploiting spatial and inter-component clustering tendency
Publisher: IEEE
Date: 12-2016
Progressive Data Stream Mining and Transaction Classification for Workload-Aware Incremental Database Repartitioning
Publisher: IEEE
Date: 12-2015
DOI: 10.1109/BDC.2014.8
Attack-Resistant Sensor Localization under Realistic Wireless Signal Fading
Publisher: IEEE
Date: 04-2010
Controlling disorder in self-assembled colloidal monolayers via evaporative processes
Publisher: Royal Society of Chemistry (RSC)
Date: 2022
DOI: 10.1039/D1NR07814C
Abstract: Monolayers of assembled nano-objects with a controlled degree of disorder hold interest in many optical applications, including photovoltaics, light emission, sensing, and structural coloration.
A motion-based approach for temporal texture synthesis
Publisher: IEEE
Date: 11-2005
Inherently edge-preserving depth-map coding without explicit edge detection and approximation
Publisher: IEEE
Date: 07-2014
A novel quality metric using spatiotemporal correlational data of human eye maneuver
Publisher: IEEE
Date: 11-2017
An Efficient Transmission Scheme for Minimizing User Waiting Time in Video-On-Demand Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2007
A Robust Forgery Detection Method for Copy–Move and Splicing Attacks in Images
Publisher: MDPI AG
Date: 12-09-2020
DOI: 10.3390/ELECTRONICS9091500
Abstract: Internet of Things (IoT) image sensors, social media, and smartphones generate huge volumes of digital images every day. Easy availability and usability of photo editing tools have made forgery attacks, primarily splicing and copy–move attacks, effortless, causing cybercrimes to be on the rise. While several models have been proposed in the literature for detecting these attacks, the robustness of those models has not been investigated when (i) a low number of t ered images are available for model building or (ii) images from IoT sensors are distorted due to image rotation or scaling caused by unwanted or unexpected changes in sensors’ physical set-up. Moreover, further improvement in detection accuracy is needed for real-word security management systems. To address these limitations, in this paper, an innovative image forgery detection method has been proposed based on Discrete Cosine Transformation (DCT) and Local Binary Pattern (LBP) and a new feature extraction method using the mean operator. First, images are ided into non-overlapping fixed size blocks and 2D block DCT is applied to capture changes due to image forgery. Then LBP is applied to the magnitude of the DCT array to enhance forgery artifacts. Finally, the mean value of a particular cell across all LBP blocks is computed, which yields a fixed number of features and presents a more computationally efficient method. Using Support Vector Machine (SVM), the proposed method has been extensively tested on four well known publicly available gray scale and color image forgery datasets, and additionally on an IoT based image forgery dataset that we built. Experimental results reveal the superiority of our proposed method over recent state-of-the-art methods in terms of widely used performance metrics and computational time and demonstrate robustness against low availability of forged training s les.
An efficient video coding technique using a novel non-parametric background model
Publisher: IEEE
Date: 07-2014
Provisioning delay sensitive services in cognitive radio networks with multiple radio interfaces
Publisher: IEEE
Date: 03-2011
Efficient H.264/AVC video encoder where pattern is used as extra mode for wide range of video coding
Publisher: Springer Berlin Heidelberg
Date: 2007
Fast block-based true motion estimation using distance dependent thresholds (DTS)
Publisher: IEEE
Date: 2002
A low bit-rate video-coding algorithm based upon variable pattern selection
Publisher: IEEE
Date: 2002
New mobility based call admission control with on-demand borrowing scheme for QOS provisioning
Publisher: IEEE
Date: 2003
Image segmentation using modified extended fuzzy rules
Publisher: IEEE
Date: 2002
Foreground motion and spatial saliency-based efficient HEVC video coding
Publisher: IEEE
Date: 11-2016
Novel velocity and call duration support for QoS provision in mobile wireless networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2004
Correction of geometrically distorted underwater images using shift map analysis
Publisher: The Optical Society
Date: 31-03-2017
Action recognition using spatio-temporal distance classifier correlation filter
Publisher: IEEE
Date: 12-2011
Privacy in participatory sensing systems
Publisher: IGI Global
Date: 2015
DOI: 10.4018/978-1-4666-8111-8.CH070
Abstract: Participatory sensing is a revolutionary new paradigm where ordinary citizens voluntarily sense their environment using readily available sensor devices such as mobile phones and systematically study, and then reflect on and share this information using existing wireless networks. It provides data collection, processing, and dissemination opportunities for socially-responsible applications spanning environmental monitoring, intelligent transportation, and public health, which are often not cost-viable using dedicated sensing infrastructure. The uniqueness of the participatory sensing system lies in its data communication infrastructure which is constituted by the deliberate participation of community people. However, the potential lack of privacy of the participants in such system makes it harder to ensure their voluntary contribution. Thus preserving privacy of the in iduals contributing data has introduced a key challenge in this area. On the other hand, data integrity is desired imperatively to make the service trustworthy and user-friendly. Different interesting approaches have been proposed so far to protect privacy that will encourage participation of the owners of data sources in turn.
Distance dependent thresholding search for fast motion estimation in real world video coding application
Publisher: IEEE
Date: 2002
Seek distances in two-headed disk systems
Publisher: Elsevier BV
Date: 02-1996
Advances in Multimedia Sensor Networks for Health-Care and Related Applications
Publisher: SAGE Publications
Date: 06-2015
DOI: 10.1155/2015/596096
GridSim: a toolkit for the modeling and simulation of distributed resource management and scheduling for Grid computing
Publisher: Wiley
Date: 11-2002
DOI: 10.1002/CPE.710
Abstract: Clusters, Grids, and peer‐to‐peer (P2P) networks have emerged as popular paradigms for next generation parallel and distributed computing. They enable aggregation of distributed resources for solving large‐scale problems in science, engineering, and commerce. In Grid and P2P computing environments, the resources are usually geographically distributed in multiple administrative domains , managed and owned by different organizations with different policies, and interconnected by wide‐area networks or the Internet. This introduces a number of resource management and application scheduling challenges in the domain of security, resource and policy heterogeneity, fault tolerance, continuously changing resource conditions, and politics. The resource management and scheduling systems for Grid computing need to manage resources and application execution depending on either resource consumers' or owners' requirements, and continuously adapt to changes in resource availability. The management of resources and scheduling of applications in such large‐scale distributed systems is a complex undertaking. In order to prove the effectiveness of resource brokers and associated scheduling algorithms, their performance needs to be evaluated under different scenarios such as varying number of resources and users with different requirements. In a Grid environment, it is hard and even impossible to perform scheduler performance evaluation in a repeatable and controllable manner as resources and users are distributed across multiple organizations with their own policies. To overcome this limitation, we have developed a Java‐based discrete‐event Grid simulation toolkit called GridSim . The toolkit supports modeling and simulation of heterogeneous Grid resources (both time‐ and space‐shared), users and application models. It provides primitives for creation of application tasks, mapping of tasks to resources, and their management. To demonstrate suitability of the GridSim toolkit, we have simulated a Nimrod‐G like Grid resource broker and evaluated the performance of deadline and budget constrained cost‐ and time‐minimization scheduling algorithms. Copyright © 2002 John Wiley & Sons, Ltd.
Adaptive weighted non-parametric background model for efficient video coding
Publisher: Elsevier BV
Date: 02-2017
On demand-driven movement strategy for moving beacons in sensor localization
Publisher: Elsevier BV
Date: 09-2014
Efficient Scalable UHD/360-Video Coding by Exploiting Common Information With Cuboid-Based Partitioning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2022
Performance analysis of vertical handoff algorithms with QoS parameter differentiation
Publisher: IEEE
Date: 09-2010
DOI: 10.1109/HPCC.2010.71
Provisioning delay sensitive services in cognitive radio networks by opportunistically sharing spectrum from CSMA/CA networks
Publisher: IEEE
Date: 09-2010
DOI: 10.1109/HPCC.2010.73
Filtering of Block Motion Vectors for Use in Motion-Based Video Indexing and Retrieval
Publisher: Institute of Electronics, Information and Communications Engineers (IEICE)
Date: 10-2005
Dynamic point cloud compression using a cuboid oriented discrete cosine based motion model
Publisher: IEEE
Date: 06-06-2021
A fully adaptive distance-dependent thresholding search (FADTS) algorithm for performance-management motion estimation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2007
Fast mode decision in the HEVC video coding standard by exploiting region with dominated motion and saliency features
Publisher: Public Library of Science (PLoS)
Date: 10-03-2016
A temporal texture characterization technique using block-based approximated motion measure
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2007
Pattern based residual coding for H.264 encoder
Publisher: IEEE
Date: 04-2007
Predictive coding of integers with real-valued predictions
Publisher: IEEE
Date: 03-2013
DOI: 10.1109/DCC.2013.51
Ad hoc operations of enhanced IEEE 802.11 with multiuser dynamic OFDMA under saturation load
Publisher: IEEE
Date: 03-2011
Abnormal event detection in unseen scenarios
Publisher: IEEE
Date: 07-2012
An Enhanced Local Texture Descriptor for Image Segmentation
Publisher: IEEE
Date: 10-2020
Workload-aware incremental repartitioning of shared-nothing distributed databases for scalable cloud applications
Publisher: IEEE
Date: 12-2014
DOI: 10.1109/UCC.2014.30
Robust background subtraction based on perceptual mixture-of-gaussians with dynamic adaptation speed
Publisher: IEEE
Date: 07-2012
Improved Image Analysis Methodology for Detecting Changes in Evidence Positioning at Crime Scenes
Publisher: IEEE
Date: 12-2019
Automated multi-sensor color video fusion for nighttime video surveillance
Publisher: IEEE
Date: 06-2010
Anonymization Techniques for Preserving Data Quality in Participatory Sensing
Publisher: IEEE
Date: 11-2016
DOI: 10.1109/LCN.2016.103
Motion compensation for block-based lossless video coding using lattice-based binning
Publisher: IEEE
Date: 05-2010
Lossless video coding using lattice based distributed source coding techniques
Publisher: IEEE
Date: 11-2006
DOI: 10.1109/AVSS.2006.73
Impact of clustering techniques on content-based pattern generation algorithm for low bit rate video coding
Publisher: IEEE
Date: 2007
Poster: Privacy protection for real world participatory sensing system
Publisher: ACM
Date: 25-06-2016
On Stable Dynamic Background Generation Technique using Gaussian Mixture Models for Robust Object Detection
Publisher: IEEE
Date: 09-2008
DOI: 10.1109/AVSS.2008.12
Symbol coding of Laplacian distributed prediction residuals
Publisher: Elsevier BV
Date: 09-2015
Performance Evaluation of Multipath Cellular Networks in Obstacle Mobility Model for Downlink Packet Video Communication
Publisher: IEEE
Date: 09-2008
A course representation of frames oriented video coding by leveraging cuboidal partitioning of image data
Publisher: IEEE
Date: 21-09-2020
An adaptive min–max fair bandwidth allocation scheme for cellular multimedia networks
Publisher: Wiley
Date: 2006
DOI: 10.1002/ETT.1068
Adaptive contention window based wireless medium access mechanism for periodic sensor data collection applications
Publisher: IEEE
Date: 12-2009
Efficient coding strategy for HEVC performance improvement by exploiting motion features
Publisher: IEEE
Date: 04-2015
An analysis of human engagement behaviour using descriptors from human feedback, eye tracking, and saliency modelling
Publisher: IEEE
Date: 11-2015
Scheduling parameter sweep applications on global Grids: A deadline and budget constrained cost-time optimization algorithm
Publisher: Wiley
Date: 2005
DOI: 10.1002/SPE.646
Temporal Texture Characterization: A Review
Publisher: Springer Berlin Heidelberg
Date: 2008
Lossless image coding using hierarchical decomposition and recursive partitioning
Publisher: Now Publishers
Date: 2016
Modified full-search block-based motion estimation algorithm with distance dependent thresholds
Publisher: IEEE
Date: 05-2002
Unsaturated throughput analysis of a novel interference-constrained multi-channel random access protocol for cognitive radio networks
Publisher: IEEE
Date: 09-2012
Integrated generalized zero-shot learning for fine-grained classification
Publisher: Elsevier BV
Date: 02-2022
Video Coding Using Arbitrarily Shaped Block Partitions in Globally Optimal Perspective
Publisher: Springer Science and Business Media LLC
Date: 09-07-2011
A novel color image fusion QoS measure for multi-sensor night vision applications
Publisher: IEEE
Date: 06-2010
VSAMS: Video stabilization approach for multiple sensors
Publisher: IEEE
Date: 12-2010
Human-machine collaborative video coding through cuboidal partitioning
Publisher: IEEE
Date: 19-09-2021
Contextual action recognition in multi-sensor nighttime video sequences
Publisher: IEEE
Date: 12-2011
Texture Based Vein Biometrics for Human Identification: A Comparative Study
Publisher: IEEE
Date: 07-2018
A centroid algorithm for stabilization of turbulence-degraded underwater videos
Publisher: IEEE
Date: 11-2016
Optimal Arbitrary Shaped Pattern-based Video Coding
Publisher: IEEE
Date: 10-2008
Workload-aware incremental repartitioning of shared-nothing distributed databases for scalable OLTP applications
Publisher: Elsevier BV
Date: 03-2016
Multiple temporal texture detection using feature space mapping
Publisher: ACM
Date: 09-07-2007
An efficient RANSAC hypothesis evaluation using sufficient statistics for RGB-D pose estimation
Publisher: Springer Science and Business Media LLC
Date: 20-08-2018
Analysis of location privacy risk in a plain-text communication based Participatory Sensing System using subset coding and mix network
Publisher: IEEE
Date: 10-2012
Threshold-free pattern-based low bit rate video coding
Publisher: IEEE
Date: 2008
Panic-driven event detection from surveillance video stream without track and motion features
Publisher: IEEE
Date: 07-2010
Depth Sequence Coding With Hierarchical Partitioning and Spatial-Domain Quantization
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2020
Scarf: Semi-automatic colorization and reliable image fusion
Publisher: IEEE
Date: 12-2010
Real-time temporal texture characterisation using block-based motion co-occurrence statistics
Publisher: IEEE
Date: 2004
Conflict resolution based global search operators for long protein structures prediction
Publisher: Springer Berlin Heidelberg
Date: 2011
Fast global motion estimation using iterative least-square estimation technique
Publisher: IEEE
Date: 2003
Novel local improvement techniques in clustered memetic algorithm for protein structure prediction
Publisher: IEEE
Date: 06-2011
A novel motion classification based intermode selection strategy for HEVC performance improvement
Publisher: Elsevier BV
Date: 2016
Comparative Analysis of Machine and Deep Learning Models for Soil Properties Prediction from Hyperspectral Visual Band
Publisher: MDPI AG
Date: 04-05-2023
DOI: 10.3390/ENVIRONMENTS10050077
Abstract: Estimating various properties of soil, including moisture, carbon, and nitrogen, is crucial for studying their correlation with plant health and food production. However, conventional methods such as oven-drying and chemical analysis are laborious, expensive, and only feasible for a limited land area. With the advent of remote sensing technologies like multi/hyperspectral imaging, it is now possible to predict soil properties non-invasive and cost-effectively for a large expanse of bare land. Recent research shows the possibility of predicting those soil contents from a wide range of hyperspectral data using good prediction algorithms. However, these kinds of hyperspectral sensors are expensive and not widely available. Therefore, this paper investigates different machine and deep learning techniques to predict soil nutrient properties using only the red (R), green (G), and blue (B) bands data to propose a suitable machine/deep learning model that can be used as a rapid soil test. Another objective of this research is to observe and compare the prediction accuracy in three cases i. hyperspectral band ii. full spectrum of the visual band, and iii. three-channel of RGB band and provide a guideline to the user on which spectrum information they should use to predict those soil properties. The outcome of this research helps to develop a mobile application that is easy to use for a quick soil test. This research also explores learning-based algorithms with significant feature combinations and their performance comparisons in predicting soil properties from visual band data. For this, we also explore the impact of dimensional reduction (i.e., principal component analysis) and transformations (i.e., empirical mode decomposition) of features. The results show that the proposed model can comparably predict the soil contents from the three-channel RGB data.
Introduction to the Issue on Nanoplasmonics
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2013
From Tf-Idf to learning-to-rank: An overview
Publisher: IGI Global
Date: 2016
DOI: 10.4018/978-1-4666-8833-9.CH003
Abstract: Ranking a set of documents based on their relevances with respect to a given query is a central problem of information retrieval (IR). Traditionally people have been using unsupervised scoring methods like tf-idf, BM25, Language Model etc., but recently supervised machine learning framework is being used successfully to learn a ranking function, which is called learning-to-rank (LtR) problem. There are a few surveys on LtR in the literature but these reviews provide very little assistance to someone who, before delving into technical details of different algorithms, wants to have a broad understanding of LtR systems and its evolution from and relation to the traditional IR methods. This chapter tries to address this gap in the literature. Mainly the following aspects are discussed: the fundamental concepts of IR, the motivation behind LtR, the evolution of LtR from and its relation to the traditional methods, the relationship between LtR and other supervised machine learning tasks, the general issues pertaining to an LtR algorithm, and the theory of LtR.
Feature weighting methods for abstract features applicable to motion based video indexing
Publisher: IEEE
Date: 2004
Special issue on selected papers of the thirteenth International Conference on Computer and Information Technology (ICCIT 2010)
Publisher: Academy Publisher
Date: 10-2011
Quadratic Fourier Transforms
Publisher: Springer Science and Business Media LLC
Date: 2014
Efficient Video Coding Using Visual Sensitive Information for HEVC Coding Standard
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
A Depth-Based Hybrid Approach for Safe Flight Corridor Generation in Memoryless Planning
Publisher: MDPI AG
Date: 16-08-2023
DOI: 10.3390/S23167206
Abstract: This paper presents a depth-based hybrid method to generate safe flight corridors for a memoryless local navigation planner. It is first proposed to use raw depth images as inputs in the learning-based object-detection engine with no requirement for map fusion. We then employ an object-detection network to directly predict the base of polyhedral safe corridors in a new raw depth image. Furthermore, we apply a verification procedure to eliminate any false predictions so that the resulting collision-free corridors are guaranteed. More importantly, the proposed mechanism helps produce separate safe corridors with minimal overlap that are suitable to be used as space boundaries for path planning. The average intersection of union (IoU) of corridors obtained by the proposed algorithm is less than 2%. To evaluate the effectiveness of our method, we incorporated it into a memoryless planner with a straight-line path-planning algorithm. We then tested the entire system in both synthetic and real-world obstacle-dense environments. The obtained results with very high success rates demonstrate that the proposed approach is highly capable of producing safe corridors for memoryless local planning.
A new borrow-and-return model for broadcasting videos with low user delay
Publisher: IEEE
Date: 2004
A novel video coding scheme using a scene adaptive non-parametric background model
Publisher: IEEE
Date: 09-2014
A novel multichannel cognitive radio network with throughput analysis at saturation load
Publisher: IEEE
Date: 08-2011
DOI: 10.1109/NCA.2011.36
Enhanced IEEE 802.11 by integrating multiuser dynamic OFDMA
Publisher: IEEE
Date: 04-2010
Lossless image coding using binary tree decomposition of prediction residuals
Publisher: IEEE
Date: 05-2015
Prefix Coding of Integers with Real-valued Predictions using Cosets
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2007
Priority sensitive event detection in hybrid wireless sensor networks
Publisher: IEEE
Date: 07-2012
Periodicity estimation of dynamic textures
Publisher: Inderscience Publishers
Date: 2008
Multipath cellular network architecture for quality assured multimedia delivery
Publisher: IEEE
Date: 05-2007
DOI: 10.1109/AINA.2007.94
An efficient cooperative lane-changing algorithm for sensor- and communication-enabled automated vehicles
Publisher: IEEE
Date: 06-2015
Exploiting spatial smoothness to recover undecoded coefficients for transform domain distributed video coding
Publisher: IEEE
Date: 09-2013
Enhanced cell visiting probability for QoS provisioning in mobile multimedia communications
Publisher: IEEE
Date: 2004
Hierarchical Colour Image Segmentation by Leveraging RGB Channels Independently
Publisher: Springer International Publishing
Date: 2019
Global Geometric Distortion Correction in Images
Publisher: IEEE
Date: 10-2006
Enhanced transfer learning with ImageNet trained classification layer
Publisher: Springer International Publishing
Date: 2019
Joint Texture and Depth Coding using Cuboid Data Compression
Publisher: IEEE
Date: 12-2015
A subset coding based k-anonymization technique to trade-off location privacy and data integrity in participatory sensing systems
Publisher: IEEE
Date: 08-2011
DOI: 10.1109/NCA.2011.22
A Guide to Employ Hyperspectral Imaging for Assessing Wheat Quality at Different Stages of Supply Chain in Australia: A Review
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2023
Dynamic virtual machine consolidation algorithms for energy-efficient cloud resource management: A review
Publisher: Springer International Publishing
Date: 21-09-2017
Efficient HEVC Scheme using Motion Type Categorization
Publisher: ACM
Date: 02-12-2014
Perception-Inspired background subtraction
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2013
Dynamic point cloud geometry compression using cubiod based commonality modeling framework
Publisher: IEEE
Date: 19-09-2021
Cloud-Based Multimedia Services for healthcare and other related applications
Publisher: Elsevier BV
Date: 2017
Video Coding focusing on block partitioning and occlusion
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2010
An Arbitrary Shaped Pattern Selection algorithm for very low bit-rate video coding focusing on moving regions
Publisher: IEEE
Date: 2003
Disparity-adjusted 3D multi-view video coding with dynamic background modelling
Publisher: IEEE
Date: 09-2013
Fast Inter-Mode Decision Strategy for HEVC on Depth Videos
Publisher: IEEE
Date: 12-2015
A hybrid object detection technique from dynamic background using Gaussian mixture models
Publisher: IEEE
Date: 10-2008
Performance scalable motion estimation for video coding: An overview of current status and a promising approach
Publisher: IGI Global
Date: 2012
DOI: 10.4018/978-1-4666-2660-7.CH003
Abstract: Motion estimation is one of the major bottlenecks in real-time performance scalable video coding applications due to high computational complexity of exhaustive search. To address this, researchers so far focused on low-complexity motion estimation and rate-distortion optimization in isolation. Proliferation of power-constrained handheld devices with image capturing capability has created demand for much smarter approach where motion estimation is integrated with rate control such that rate-distortion-complexity optimization can be effectively achieved. It is indeed crucial to provide such performance scalability in motion estimation to facilitate complexity management in such devices. This chapter presents an overview of motion estimation. Beginning with an introduction to the importance of motion estimation, it systematically examines various motion estimation techniques and their strengths and weaknesses, focussing primarily on block-based motion search. It then examines the limitation of the existing techniques in accommodating performance scalability, introduces a promising approach, Distance-dependent Thresholding Search (DTS) motion search, to fill in this gap, and concludes with future research directions in the field. The authors suggest that the content of the chapter will make a significant contribution and serve as a reference for multimedia signal processing research at postgraduate level.
Parametric mobility support dynamic resource reservation and call admission control scheme for cellular multimedia communications
Publisher: Elsevier BV
Date: 2007
A novel depth edge prioritization based coding technique to boost-UP HEVC performance
Publisher: IEEE
Date: 07-2016
Dynamic adjustment of sensing range for event coverage in wireless sensor networks
Publisher: Elsevier BV
Date: 11-2014
Constant time algorithms for computing the contour of maximal elements on a reconfigurable mesh
Publisher: World Scientific Pub Co Pte Lt
Date: 09-1998
DOI: 10.1142/S0129626498000365
Abstract: There has recently been an interest in the introduction of reconfigurable buses to existing parallel architectures. Among them the Reconfigurable Mesh (RM) draws much attention because of its simplicity. This paper presents three constant time algorithms to compute the contour of the maximal elements of N planar points on the RM. The first algorithm employs an RM of size N × N while the second one uses a 3-D RM of size [Formula: see text]. We further extend the result to k-D RM of size N 1/(k - 1) × N 1/(k - 1) × … × N 1/(k - 1) .
QoS Support in Event Detection in WSN through Optimal k-Coverage
Publisher: Elsevier BV
Date: 2011
A hybrid wireless sensor network framework for range-free event localization
Publisher: Elsevier BV
Date: 04-2015
A motion-based approach for segmenting dynamic textures
Publisher: Inderscience Publishers
Date: 2009
Lossless Hyperspectral Image Compression Using Binary Tree Based Decomposition
Publisher: IEEE
Date: 11-2016
Exploiting user provided information in dynamic consolidation of virtual machines to minimize energy consumption of cloud data centers
Publisher: IEEE
Date: 04-2018
Feature Weighting and Retrieval Methods for Dynamic Texture Motion Features
Publisher: Springer Science and Business Media LLC
Date: 03-2009
Undecoded coefficients recovery in distributed video coding by exploiting spatio-temporal correlation: A linear programming approach
Publisher: IEEE
Date: 11-2013
An Optimal Content-Based Pattern Generation Algorithm
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2007
A novel batched multicast patching scheme for video broadcasting with low user delay
Publisher: IEEE
Date: 2003
An adaptive borrow-and-return model for broadcasting videos
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2009
An enhanced-MDP based vertical handoff algorithm for QoS support over heterogeneous wireless networks
Publisher: IEEE
Date: 08-2011
DOI: 10.1109/NCA.2011.49
Efficient contention resolution in MAC protocol for periodic data collection in WSNs
Publisher: ACM
Date: 28-06-2010
Development of a cylindrical polar coordinates shallow water storm surge model for the coast of Bangladesh
Publisher: Springer Science and Business Media LLC
Date: 10-10-2017
Detection of multiple dynamic textures using feature space mapping
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2009
A novel no-reference subjective quality metric for free viewpoint video using human eye movement
Publisher: Springer International Publishing
Date: 2018
Verifiable and privacy preserving electronic voting with untrusted machines
Publisher: IEEE
Date: 07-2013
New fuzzy rules for improved image segmentation
Publisher: IEEE
Date: 05-2002
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