Title :
Region-of-interest segmentation based on Bayesian theorem for H.264 video transcoding
Author :
Huang, Shu-Fen ; Chen, Mei-Juan ; Li, Mian-Shiuan
Author_Institution :
Dept. of Electr. Eng., Nat. Dong-Hwa Univ., Hualien, Taiwan
Abstract :
This paper presents a region-of-interest (ROI) segmentation technique to facilitate the video transcoding. In the low bit-rate transmission, ROI video coding can maintain better visual quality based on the properties of the human visual system (HVS). In this paper, to aim this purpose, the Bayesian theorem is utilized to automatically determine the moving foreground objects by using motion intensity analysis and skin color information for inter coded frames. Experimental results show that the proposed method can extract ROI macroblocks (MBs) effectively.
Keywords :
Bayes methods; feature extraction; image colour analysis; image motion analysis; image segmentation; video coding; Bayesian theorem; H.264 video transcoding; ROI macroblocks extraction; ROI video coding; human visual system; inter coded frames; low bit-rate transmission; motion intensity analysis; moving foreground object determination; region-of-interest segmentation; skin color information; Bayesian methods; Image color analysis; Motion segmentation; Skin; Streaming media; Transcoding; Visualization;
Conference_Titel :
Visual Communications and Image Processing (VCIP), 2011 IEEE
Conference_Location :
Tainan
Print_ISBN :
978-1-4577-1321-7
Electronic_ISBN :
978-1-4577-1320-0
DOI :
10.1109/VCIP.2011.6116002
