DocumentCode :
1711819
Title :
Image segmentation approach for realizing zoomable streaming HEVC video
Author :
Umezaki, Yuri ; Goto, Satoshi
Author_Institution :
Dept. of Electron. & Photonic Syst., Waseda Univ., Tokyo, Japan
fYear :
2013
Firstpage :
1
Lastpage :
4
Abstract :
With the popularity of mobile devices such as mobile phones and cameras, zooming and displaying an arbitrary region of interest (ROI) from a high-resolution video has gained considerable importance. In this study, we implement two methods - partial decoding and tiled encoding - for ROI-based streaming in High Efficiency Video Coding (HEVC). In partial decoding, only the ROI and dependence area are decoded; this approach reduces the calculation cost. In tiled encoding, video frames are split into a grid of tiles, each of which is encoded independently; this approach requires a compatible decoder, and it reduces the streaming bitrate and decoding calculation cost. We evaluated these two methods in terms of the decoding calculation cost, bandwidth efficiency, and video quality. Experimental results show that partial decoding reduced the decoding calculation cost by 35-55%. Tiled encoding showed optimal decoding calculation cost and bandwidth efficiency for a tile size of 128 pixels.
Keywords :
decoding; image resolution; image segmentation; video coding; ROI based streaming; bandwidth efficiency; cameras; high efficiency video coding; high resolution video; image segmentation approach; mobile devices; mobile phones; optimal decoding calculation cost; partial decoding method; picture size 128 pixel; region of interest; streaming bitrate; tiled encoding method; video frames; video quality; zoomable streaming HEVC video realization; Decoding; Image resolution; Servers; Streaming media; HEVC; cropping; mobile streaming; region of interest; zoomable video;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Communications and Signal Processing (ICICS) 2013 9th International Conference on
Conference_Location :
Tainan
Print_ISBN :
978-1-4799-0433-4
Type :
conf
DOI :
10.1109/ICICS.2013.6782830
Filename :
6782830
Link To Document :
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