DocumentCode :
2569380
Title :
Key frame selection by macroblock type and motion vector analysis
Author :
Chau, Wing-San ; Au, Oscar C. ; Chong, Tak-Song
Author_Institution :
Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol.
Volume :
1
fYear :
2004
fDate :
30-30 June 2004
Firstpage :
575
Abstract :
Key frame selection is the process to select the most representative frames of a long video sequence. The paper describes a new algorithm for determining key frames in a video shot. We use macroblock (MB) type and motion vector information of MPEG compressed video to determine the local maxima of visual content change in a shot, i.e. the frames that are most noticeable to the viewer. This algorithm exploits the important cue of the intensity of motion activity and visual content change within a shot from the corresponding MB type and motion vector characteristics. The advantages of this algorithm are the efficient extraction of the required information in the MPEG compressed domain with low complexity VLC decoding and high accuracy. Results show that the proposed algorithm can successfully select the key frames that are sufficient to represent a shot
Keywords :
data compression; decoding; image motion analysis; image sequences; variable length codes; video coding; MPEG compressed video; VLC decoding; compressed domain; key frame selection; macroblock type; motion activity intensity; motion vector analysis; video sequence; visual content change maxima; visual content metric; Decoding; Gold; Mobile handsets; Motion analysis; Motion measurement; Optical computing; Streaming media; Transform coding; Video compression; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-8603-5
Type :
conf
DOI :
10.1109/ICME.2004.1394257
Filename :
1394257
Link To Document :
بازگشت