Motion based object tracking in MPEG-2 stream for perceptual region discriminating rate transcoding
Author(s) -
Javed Khan,
Guo Zhong,
Wansik Oh
Publication year - 2001
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
ISBN - 1-58113-394-4
DOI - 10.1145/500141.500245
Subject(s) - transcoding , computer science , video tracking , computer vision , motion compensation , encoding (memory) , artificial intelligence , perception , bitstream , video post processing , video quality , video compression picture types , multiview video coding , object (grammar) , bit rate , mpeg 4 , smacker video , tracking (education) , mpeg 2 , real time computing , coding (social sciences) , decoding methods , pedagogy , operations management , computer network , metric (unit) , biology , psychology , telecommunications , neuroscience , economics , mathematics , statistics
Object based bit allocation can result in significant improvement in the perceptual quality of relatively low bit-rate video. In this paper we describe a novel content aware video transcoding technique that can accept high-level description of video objects and extract them from incoming video stream and use it for perceptual encoding based extreme video downscaling.
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