MyMedR

Displaying all 10 publications

Abstract:

Sort:

Fulltext A Secure and Robust Compressed Domain Video Steganography for Intra- and Inter-Frames Using Embedding-Based Byte Differencing (EBBD) Scheme

Idbeaa T, Abdul Samad S, Husain H

PLoS One, 2016;11(3):e0150732.
PMID: 26963093 DOI: 10.1371/journal.pone.0150732

This paper presents a novel secure and robust steganographic technique in the compressed video domain namely embedding-based byte differencing (EBBD). Unlike most of the current video steganographic techniques which take into account only the intra frames for data embedding, the proposed EBBD technique aims to hide information in both intra and inter frames. The information is embedded into a compressed video by simultaneously manipulating the quantized AC coefficients (AC-QTCs) of luminance components of the frames during MPEG-2 encoding process. Later, during the decoding process, the embedded information can be detected and extracted completely. Furthermore, the EBBD basically deals with two security concepts: data encryption and data concealing. Hence, during the embedding process, secret data is encrypted using the simplified data encryption standard (S-DES) algorithm to provide better security to the implemented system. The security of the method lies in selecting candidate AC-QTCs within each non-overlapping 8 × 8 sub-block using a pseudo random key. Basic performance of this steganographic technique verified through experiments on various existing MPEG-2 encoded videos over a wide range of embedded payload rates. Overall, the experimental results verify the excellent performance of the proposed EBBD with a better trade-off in terms of imperceptibility and payload, as compared with previous techniques while at the same time ensuring minimal bitrate increase and negligible degradation of PSNR values.

Matched MeSH terms: Video Recording/methods*
Fulltext Investigation of a novel common subexpression elimination method for low power and area efficient DCT architecture

Siddiqui MF, Reza AW, Kanesan J, Ramiah H

ScientificWorldJournal, 2014;2014:620868.
PMID: 25133249 DOI: 10.1155/2014/620868

A wide interest has been observed to find a low power and area efficient hardware design of discrete cosine transform (DCT) algorithm. This research work proposed a novel Common Subexpression Elimination (CSE) based pipelined architecture for DCT, aimed at reproducing the cost metrics of power and area while maintaining high speed and accuracy in DCT applications. The proposed design combines the techniques of Canonical Signed Digit (CSD) representation and CSE to implement the multiplier-less method for fixed constant multiplication of DCT coefficients. Furthermore, symmetry in the DCT coefficient matrix is used with CSE to further decrease the number of arithmetic operations. This architecture needs a single-port memory to feed the inputs instead of multiport memory, which leads to reduction of the hardware cost and area. From the analysis of experimental results and performance comparisons, it is observed that the proposed scheme uses minimum logic utilizing mere 340 slices and 22 adders. Moreover, this design meets the real time constraints of different video/image coders and peak-signal-to-noise-ratio (PSNR) requirements. Furthermore, the proposed technique has significant advantages over recent well-known methods along with accuracy in terms of power reduction, silicon area usage, and maximum operating frequency by 41%, 15%, and 15%, respectively.

Matched MeSH terms: Video Recording/methods
Implementation of video modeling in the occupational therapy intervention process for children and adolescents with special needs: A scoping review

Abd Aziz N, Kadar M, Harun D, Mohd Rasdi HF

Occup Ther Health Care, 2021 Apr;35(2):227-244.
PMID: 33511894 DOI: 10.1080/07380577.2021.1876967

This scoping review explores the implementation of video modeling (VM) by occupational therapists during the intervention process for children and adolescents with special needs. Four primary electronic databases were used to conduct the scoping review: PubMed, Scopus, CINAHL, and Proquest (Nursing and Allied Health). Research methodologies by Arksey and O'Malley were used as a framework to perform the review process. From the review, two themes emerged: (1) implementing VM by occupational therapists during the intervention process can successfully improve a client's desired skills; (2) VM can be applied through several types of technologies. The findings support occupational therapists' use of VM during interventions to positively enhance and promote desired skills among children and adolescents with special needs. Also, it can be incorporated into technological devices to suit a client's specific needs.

Matched MeSH terms: Video Recording/methods*
Fulltext MATIN: a random network coding based framework for high quality peer-to-peer live video streaming

Barekatain B, Khezrimotlagh D, Aizaini Maarof M, Ghaeini HR, Salleh S, Quintana AA, et al.

PLoS One, 2013;8(8):e69844.
PMID: 23940530 DOI: 10.1371/journal.pone.0069844

In recent years, Random Network Coding (RNC) has emerged as a promising solution for efficient Peer-to-Peer (P2P) video multicasting over the Internet. This probably refers to this fact that RNC noticeably increases the error resiliency and throughput of the network. However, high transmission overhead arising from sending large coefficients vector as header has been the most important challenge of the RNC. Moreover, due to employing the Gauss-Jordan elimination method, considerable computational complexity can be imposed on peers in decoding the encoded blocks and checking linear dependency among the coefficients vectors. In order to address these challenges, this study introduces MATIN which is a random network coding based framework for efficient P2P video streaming. The MATIN includes a novel coefficients matrix generation method so that there is no linear dependency in the generated coefficients matrix. Using the proposed framework, each peer encapsulates one instead of n coefficients entries into the generated encoded packet which results in very low transmission overhead. It is also possible to obtain the inverted coefficients matrix using a bit number of simple arithmetic operations. In this regard, peers sustain very low computational complexities. As a result, the MATIN permits random network coding to be more efficient in P2P video streaming systems. The results obtained from simulation using OMNET++ show that it substantially outperforms the RNC which uses the Gauss-Jordan elimination method by providing better video quality on peers in terms of the four important performance metrics including video distortion, dependency distortion, End-to-End delay and Initial Startup delay.

Matched MeSH terms: Video Recording/methods*
Teaching Video NeuroImages: Purposeless groaning in progressive supranuclear palsy

Low SC, Tan AH, Lim SY

Neurology, 2017 01 03;88(1):e9.
PMID: 28025406 DOI: 10.1212/WNL.0000000000003465
Matched MeSH terms: Video Recording/methods*
Fulltext Sudden event recognition: a survey

Suriani NS, Hussain A, Zulkifley MA

Sensors (Basel), 2013 Aug 05;13(8):9966-98.
PMID: 23921828 DOI: 10.3390/s130809966

Event recognition is one of the most active research areas in video surveillance fields. Advancement in event recognition systems mainly aims to provide convenience, safety and an efficient lifestyle for humanity. A precise, accurate and robust approach is necessary to enable event recognition systems to respond to sudden changes in various uncontrolled environments, such as the case of an emergency, physical threat and a fire or bomb alert. The performance of sudden event recognition systems depends heavily on the accuracy of low level processing, like detection, recognition, tracking and machine learning algorithms. This survey aims to detect and characterize a sudden event, which is a subset of an abnormal event in several video surveillance applications. This paper discusses the following in detail: (1) the importance of a sudden event over a general anomalous event; (2) frameworks used in sudden event recognition; (3) the requirements and comparative studies of a sudden event recognition system and (4) various decision-making approaches for sudden event recognition. The advantages and drawbacks of using 3D images from multiple cameras for real-time application are also discussed. The paper concludes with suggestions for future research directions in sudden event recognition.

Matched MeSH terms: Video Recording/methods*
Fulltext The inter-trial and inter-session reliability of Theia3D-derived markerless gait analysis in tight versus loose clothing

Augustine S, Foster R, Barton G, Lake MJ, Sharir R, Robinson MA

PeerJ, 2025;13:e18613.
PMID: 39763706 DOI: 10.7717/peerj.18613

BACKGROUND: Gait analysis is traditionally conducted using marker-based methods yet markerless motion capture is emerging as an alternative. Initial studies have begun to evaluate the reliability of markerless motion capture yet the evaluation of different clothing conditions across sessions and complete evaluation of the lower limb and pelvis reliability have yet to be considered. The aim of this study was to evaluate the inter-trial, inter-session and inter-session-clothing variation and root mean square differences between tight- or loose-fitting clothing during walking.
METHOD: Twenty-two healthy adult participants walked along an indoor walkway whilst eight video cameras recorded their gait in either tight- or loose-fitting clothing. A commercial markerless motion capture system (Theia3D) provided gait kinematics for evaluation.
RESULTS: Reliability results showed average inter-trial variation of <2°, inter-session variation of <3° and inter-session-clothing variation <3.5°. Root mean square differences (RMSD) between clothing conditions were <2°.
DISCUSSION: Pelvis variations were smaller than those at the hip, knee and ankle. Our results showed smaller variation than in previous studies which may be due to updates to software. The demonstration of the reliability of markerless motion capture for gait analysis in healthy adults should prompt further evaluation in clinical conditions and reconsideration of multi-assessor marker-based gait analysis protocols, where variation is highest.

Matched MeSH terms: Video Recording/methods
Activity analysis of thermal imaging videos using a difference imaging approach

Tattersall GJ, Danner RM, Chaves JA, Levesque DL

J Therm Biol, 2020 Jul;91:102611.
PMID: 32716861 DOI: 10.1016/j.jtherbio.2020.102611

Infrared thermal imaging is a passive imaging technique that captures the emitted radiation from an object to estimate surface temperature, often for inference of heat transfer. Infrared thermal imaging offers the potential to detect movement without the challenges of glare, shadows, or changes in lighting associated with visual digital imaging or active infrared imaging. In this paper, we employ a frame subtraction algorithm for extracting the pixel-by-pixel relative change in signal from a fixed focus video file, tailored for use with thermal imaging videos. By summing the absolute differences across an entire video, we are able to assign quantitative activity assessments to thermal imaging data for comparison with simultaneous recordings of metabolic rates. We tested the accuracy and limits of this approach by analyzing movement of a metronome and provide an example application of the approach to a study of Darwin's finches. In principle, this "Difference Imaging Thermography" (DIT) would allow for activity data to be standardized to energetic measurements and could be applied to any radiometric imaging system.

Matched MeSH terms: Video Recording/methods*
Fulltext Bleeding detection in wireless capsule endoscopy videos - Color versus texture features

Pogorelov K, Suman S, Azmadi Hussin F, Saeed Malik A, Ostroukhova O, Riegler M, et al.

J Appl Clin Med Phys, 2019 Aug;20(8):141-154.
PMID: 31251460 DOI: 10.1002/acm2.12662

Wireless capsule endoscopy (WCE) is an effective technology that can be used to make a gastrointestinal (GI) tract diagnosis of various lesions and abnormalities. Due to a long time required to pass through the GI tract, the resulting WCE data stream contains a large number of frames which leads to a tedious job for clinical experts to perform a visual check of each and every frame of a complete patient's video footage. In this paper, an automated technique for bleeding detection based on color and texture features is proposed. The approach combines the color information which is an essential feature for initial detection of frame with bleeding. Additionally, it uses the texture which plays an important role to extract more information from the lesion captured in the frames and allows the system to distinguish finely between borderline cases. The detection algorithm utilizes machine-learning-based classification methods, and it can efficiently distinguish between bleeding and nonbleeding frames and perform pixel-level segmentation of bleeding areas in WCE frames. The performed experimental studies demonstrate the performance of the proposed bleeding detection method in terms of detection accuracy, where we are at least as good as the state-of-the-art approaches. In this research, we have conducted a broad comparison of a number of different state-of-the-art features and classification methods that allows building an efficient and flexible WCE video processing system.

Matched MeSH terms: Video Recording/methods*
An improved light dark box test by using a real-time video tracking system

Narayanan SN, Kumar RS

Acta. Biol. Hung., 2018 Dec;69(4):371-384.
PMID: 30587025 DOI: 10.1556/018.69.2018.4.1

In the behavioral science field, many of the oldest tests have still most frequently been used almost in the same way for decades. The subjective influence of human observer and the large inter-observer and interlab differences are substantial among these tests. This necessitates the possibility of using technological innovations for behavioral science to obtain new parameters, results and insights as well. The light-dark box (LDB) test is a characteristic tool used to assess anxiety in rodents. A complete behavioral analysis (including both anxiety and locomotion parameters) is not possible by performing traditional LDB test protocol, as it lacks the usage of a real-time video recording of the test. In the current report, we describe an improved approach to conduct LDB test using a real-time video tracking system.

Matched MeSH terms: Video Recording/methods*