DocumentCode :
3496505
Title :
Incorporating high frequency component matching motion estimation in H.264: A revolutionary improvement for real-time telemedicine applications
Author :
Zoha, Morsalin Uz
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Chittagong, Chittagong, Bangladesh
fYear :
2011
fDate :
22-24 Dec. 2011
Firstpage :
509
Lastpage :
513
Abstract :
In Telemedicine applications, for diagnostic purposes, it is essential that the video compression process causes no tangible loss of detail and introduces no noticeable artifacts which could be otherwise misinterpreted as being pathological in nature. On the other hand, due to the limitation of storage and transmission and the huge amount of medical videos, high compression ratio is often required. Video coding exploits the high correlation between successive image frames to improve coding efficiency, which is achieved by motion estimation and motion compensation techniques. This paper demonstrates the feasibility of incorporating the high frequency component matching block motion estimation in H.264 in order to improve video compression performance in telemedicine applications. Implementation using the H.264 codec and thereby facilitating performance analysis, the experimental result indicates that high frequency component matching introduces a revolutionary improvement as a matching criterion for motion compensated predictive coding in real-time telemedicine applications.
Keywords :
image matching; motion compensation; motion estimation; patient diagnosis; telemedicine; video coding; H.264 codec; diagnostic purposes; high frequency component matching motion estimation; medical videos; motion compensated predictive coding; motion compensation techniques; real-time telemedicine applications; successive image frames; video coding; video compression process; Codecs; Computational modeling; Estimation; Frequency estimation; Matched filters; Tomography; Weight measurement; H.264 Motion Estimation; High Frequency Component Matching; Telemedicine; Video Compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Technology (ICCIT), 2011 14th International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-61284-907-2
Type :
conf
DOI :
10.1109/ICCITechn.2011.6164842
Filename :
6164842
Link To Document :
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