Title :
A new perceived motion based shot content representation
Author :
Ma, Yu-Fei ; Zhang, Hong-Jiang
Author_Institution :
Microsoft Res., China, Beijing, China
fDate :
6/23/1905 12:00:00 AM
Abstract :
Motion information is an important cue for humans to perceive video content. However, it is hard to use motion in video retrieval due to the lack of effective representation. In this paper, we propose a perceived motion based shot content representation, perceived motion energy spectrum (PMES), for content-based video retrieval. The human perceivable motion regions or objects can be detected directly from this representation. In order to extract PMES images from motion vectors in MPEG stream, a temporal energy filter and a global motion filter have been designed. The experimental results show that PMES image improves the performance of motion based video retrieval effectively
Keywords :
content-based retrieval; feature extraction; image motion analysis; image recognition; image representation; image retrieval; median filters; object detection; spatial filters; video databases; video signal processing; MPEG stream; PMES images; content-based video retrieval; global motion filter; motion based video retrieval; perceived motion based shot content representation; perceived motion energy spectrum; temporal energy filter; video content; Cameras; Content based retrieval; Feature extraction; Filters; Humans; Information retrieval; Motion estimation; Object segmentation; Partial response channels; Streaming media;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958142
