Title :
Region of interest extraction and adaptation in scalable video coding
Author_Institution :
Sch. of Comput. Sci. & Technol., Southwest Univ. for Nat., Chengdu, China
Abstract :
By integrating the visual attention model in human vision system and the tile and slice group structure in scalable video coding (SVC), a novel scheme was proposed to adapt video resolution based on adaptive region of interest (AROI) extraction. This idea can be applied to ROI based video coding, adaptation and delivery, by embedding anchor point of focusing macroblock in each key frame and motion vectors (MVs) in other frames in coded video stream or sequence parameter set (SPS) in SVC.
Keywords :
feature extraction; image resolution; video coding; AROI extraction; SVC; adaptive region-of-interest extraction; human vision system; scalable video coding; slice group structure; tile structure; video resolution; visual attention model; Adaptation model; Biological system modeling; Computational modeling; Pixel; Static VAr compensators; Tiles; Visualization; feature map; region of interest (ROI); scalable video coding (SVC); video adaptation; visual attention model;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
DOI :
10.1109/FSKD.2010.5569822
