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Adaptive Transmission of Medical Image and Video Using Scalable Coding and Context-Aware Wireless Medical Networks

Charalampos Doukas, Ilias Maglogiannis
2008 EURASIP Journal on Wireless Communications and Networking  
The aim of this paper is to present a novel platform for advanced transmission of medical image and video, introducing context awareness in telemedicine systems.  ...  An evaluation platform has been developed based on scalable wavelet compression with region-of-interest support for images and adaptive H.264 coding for video.  ...  To the best of our knowledge, there is no other work exploiting context awareness for optimizing network utilization and efficiency within the context of medical networks and telemedicine services.  ... 
doi:10.1155/2008/428397 fatcat:hnaamsiojbc3jf55vl7h3kxoyq

GreenEyes: Networked energy-aware visual analysis

L. Baroffio, M. Cesana, A. Redondi, M. Tagliasacchi, J. Ascenso, P. Monteiro, E. Eriksson, G. Dan, V. Fodor
2015 2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)  
The key tenet of this research is that most visual analysis tasks can be carried out based on a succinct representation of the image, which entails both global and local features, while it disregards the  ...  Specifically, GreenEyes will pursue the following goals: i) energy-constrained extraction of visual features; ii) rate-efficiency modelling and coding of visual feature; iii) networking streams of visual  ...  However, it is partially at odds with the paradigm adopted by the human visual system: first, image analysis is often based on a compressed and hence lossy representation of the original image, which might  ... 
doi:10.1109/icmew.2015.7169823 dblp:conf/icmcs/BaroffioCRTAMED15 fatcat:u74jfbfenjarrnp3uhov2bltaa

Image compression algorithms in wireless multimedia sensor networks: A survey

Hanaa ZainEldin, Mostafa A. Elhosseini, Hesham A. Ali
2015 Ain Shams Engineering Journal  
The most effective solution to overcome those problems is image compression.  ...  As the image contains massive amount of redundancies resulting from high correlation between pixels, many compression algorithms have been developed.  ...  Image compression techniques Compression techniques can be classified into lossy and lossless compression techniques.  ... 
doi:10.1016/j.asej.2014.11.001 fatcat:wsp2fpyosbhjxpzowrhsiz6jsm

Two-layer and adaptive entropy coding algorithms for H.264-based lossless image coding

Jun-Ren Ding, Jiun-Yu Chen, Fu-Chun Yang, Jar-Ferr Yang
2008 Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing  
From universal access point of view, the proposed method is based on the H.264 lossy image coding with other CABAC layer to compensate the lossy portion.  ...  The two-layer H.264-LS almost have the same compression rate than the H.264-LS_DPCM.  ...  To design a universal H.264-based image coding method, as JPEG2000-LS, to simultaneously achieve a better efficient compression for lossy, near lossless and lossless image compression methods should be  ... 
doi:10.1109/icassp.2008.4517873 dblp:conf/icassp/DingCYY08 fatcat:aqkvt27fubeqdclm2cwxqj7edy

Context-dependent JPEG backward-compatible high-dynamic range image compression

Pavel Korshunov, Touradj Ebrahimi
2013 Optical Engineering: The Journal of SPIE  
A simple implementation of lossy compression demonstrates the efficiency of the proposed architecture compared with the state-of-the-art HDR image compression.  ...  We, via a series of subjective evaluations, demonstrate the dependency of the perceptual quality of the tone-mapped LDR images on the context: environmental factors, display parameters, and image content  ...  Help from Shuting Cai in generating some of the HDR and tone-mapped images used in subjective evaluations performed in this paper is also acknowledged.  ... 
doi:10.1117/1.oe.52.10.102006 fatcat:z4iitqtwjrhmzarbmunmvrkgti

A JPEG backward-compatible HDR image compression

Pavel Korshunov, Touradj Ebrahimi, Andrew G. Tescher
2012 Applications of Digital Image Processing XXXV  
art HDR image compression.  ...  To facilitate wide spread of HDR usage, the backward compatibility of HDR technology with commonly used legacy image storage, rendering, and compression is necessary.  ...  Help from Shuting Cai in generating some of the HDR and tone-mapped images used in subjective evaluations performed in this paper is also acknowledged.  ... 
doi:10.1117/12.946037 fatcat:sxiotxhgufdqlb3t3utvk5xspm

Stereo frame decomposition for error-constrained remote visualization

Steven Martin, Han-Wei Shen, Pak Chung Wong, David L. Kao, Ming C. Hao, Chaomei Chen, Christopher G. Healey
2013 Visualization and Data Analysis 2013  
We propose a novel system enabling efficient compression of stereo video streams using standard codecs that can be integrated with existing remoting solutions, while at the same time offering error constraints  ...  As growth in dataset sizes continues to exceed growth in available bandwidth, new solutions are needed to facilitate efficient visual analysis workflows.  ...  Another way of looking at residual coding in the context of image compression is to look at lossy wavelet-based methods such as lossy JPEG 2000 as predictor-corrector based methods.  ... 
doi:10.1117/12.2002848 dblp:conf/vda/MartinS13 fatcat:c4gf36q5nrf6ra6qdoihxojlly

A Survey of Image Compression Algorithms for Visual Sensor Networks

Abdelhamid Mammeri, Brahim Hadjou, Ahmed Khoumsi
2012 ISRN Sensor Networks  
That is, new strategies and mechanisms for power-efficient image compression algorithms are developed, since the application of the conventional methods is not always energy beneficial.  ...  With the advent of visual sensor networks (VSNs), energy-aware compression algorithms have gained wide attention.  ...  Another energy-aware scheme for efficient image compression for VSN is that one suggested in [45] , where the authors formulate this challenging task as an optimization problem.  ... 
doi:10.5402/2012/760320 fatcat:ksg76nsh4vc5fdvfwxujzhh5ra

The Improvised GZIP, A Technique for Real Time Lossless Data Compression

Ahmad Shah, Muhammad Sethi
2019 EAI Endorsed Transactions on Context-aware Systems and Applications  
These two resources must be efficiently utilized by compressing the data. Enormous algorithms are used to compress data.  ...  As far as, compression in storage is concern, GZIP is used on large scale for lossless data compression. However, it is not desirable to carry out lossless data compression for real time data.  ...  and decompressing a lossy image.  ... 
doi:10.4108/eai.1-10-2019.160599 fatcat:6fqafst4lrdobnu6pxt46erozi


Madhavee Latha. P, Annis Fathima. A
2017 Asian Journal of Pharmaceutical and Clinical Research  
In this paper, image and video compression standards are discussed.  ...  Even though many different image compression schemes exist, current needs and applications require fast compression algorithms which produce acceptable quality images or video with minimum size.  ...  In lossy compression, the reconstructed image contains degradations.  ... 
doi:10.22159/ajpcr.2017.v10s1.19760 fatcat:2iae45mhtrcanlt4gmbp5ykqtm

Shrinkability Maps for Content-Aware Video Resizing

Yi-Fei Zhang, Shi-Min Hu, Ralph R. Martin
2008 Computer graphics forum (Print)  
Despite the great efficiency and low storage requirements for our method, we produce results of comparable quality to state-of-the-art methods for content-aware image and video resizing.  ...  These shrinkability maps are highly compressible, so the resulting multi-sized videos are typically less than three times the size of the original compressed video.  ...  Our cumulative shrinkability maps, after lossy compression, are even smaller than the compressed input video, and the error caused by lossy compression has negligible affect on the output resized result  ... 
doi:10.1111/j.1467-8659.2008.01325.x fatcat:en3repxpm5gkffpn6zepiisyyu

Proceedings 2002 IEEE International Conference on Multimedia and Expo (Cat. No.02TH8604)

2002 Proceedings IEEE International Conference on Multimedia and Expo ICME-02  
Otem Pire+ Protocol for Streaming Compressed 3-D Animations Over Lossy Channels .................... Streaming 3D Geometry Data over Lossy Communication Channels ............  ...  Tool for Compression and Streaming of XML Data . .  ... 
doi:10.1109/icme.2002.1035702 fatcat:jb3mabatenfk7nesrtow7v43am

Towards Robust Deep Hiding Under Non-Differentiable Distortions for Practical Blind Watermarking

Chaoning Zhang, Adil Karjauv, Philipp Benz, In So Kweon
2021 Proceedings of the 29th ACM International Conference on Multimedia  
This observation motivates us to use forward ASL to make the pipeline compatible with nondifferentiable and/or black-box distortion, such as lossy (JPEG) compression and photoshop effects.  ...  Deep learning has been widely used in data hiding, for which inserting an attack simulation layer (ASL) after the watermarked image has been widely recognized as the most effective approach for improving  ...  Here, we extend forward ASL to the context of an image being the secret instead of multiple secret bits.  ... 
doi:10.1145/3474085.3475628 fatcat:dyoxhlhlevf2jem6gwoc3erwbi

Lossy Compression of Multispectral Satellite Images with Application to Crop Thematic Mapping: A HEVC Comparative Study

Miloš Radosavljević, Branko Brkljač, Predrag Lugonja, Vladimir Crnojević, Željen Trpovski, Zixiang Xiong, Dejan Vukobratović
2020 Remote Sensing  
Driven by the rapid growth in the volume of optical satellite measurements, in this work we explore the lossy compression technique for multispectral satellite images.  ...  We give a comprehensive analysis of the High Efficiency Video Coding (HEVC) still-image intra coding part applied to the multispectral image data.  ...  Sentinel-2 images are courtesy of the European Space Agency (ESA), and were provided through Copernicus EO programme.  ... 
doi:10.3390/rs12101590 fatcat:erd5m4x5dbbixgofd26auvm2ye

Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform [article]

Myungseo Song, Jinyoung Choi, Bohyung Han
2021 arXiv   pre-print
In addition, the proposed framework allows us to perform task-aware image compressions for various tasks, e.g., classification, by efficiently estimating optimized quality maps specific to target tasks  ...  At the same level of compression, the proposed approach successfully improves performance on image classification and text region quality preservation via task-aware quality map estimation without additional  ...  The encoding of such serial context models can be made efficient by using masked convoltuion, e.g., for M&S + Context the encoding time decreased from 5004 ms to 82 ms.  ... 
arXiv:2108.09551v1 fatcat:xqsa3lqmvzdlfjuaxfqvrgyc6q
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