期刊
PATTERN RECOGNITION LETTERS
卷 26, 期 9, 页码 1221-1231出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.patrec.2004.11.011
关键词
motion histogram; video retrieval; expectation-maximization; video classification
A new motion feature for video indexing is proposed in this paper. The motion content of the video at pixel level, is represented as a Pixel Change Ratio Map (PCRM). The PCRM enables us to capture the intensity of motion in a video sequence. It also indicates the spatial location and size of the moving object. The proposed motion feature is the motion histogram which is a non-uniformly quantized histogram of the PCRM. We demonstrate the usefulness of the motion histogram with three applications, viz., video retrieval, video clustering and video classification. (c) 2004 Elsevier B.V. All rights reserved.
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