Motion retrieval by temporal slices analysis

In this papel; we investigate video shots retrieval based on the analysis of temporal slice images. Temporal slices are a set of2D images extracted along the time dimension of image sequences. They encode rich set of motion clues for shot similarity measure. Because motion is depicted as texture ori...

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Bibliographic Details
Main Authors: NGO, Chong-Wah, NGO, Chong-wah, ZHANG, Hong-Jiang
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2002
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/6378
https://ink.library.smu.edu.sg/context/sis_research/article/7381/viewcontent/169540064.pdf
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Institution: Singapore Management University
Language: English
Description
Summary:In this papel; we investigate video shots retrieval based on the analysis of temporal slice images. Temporal slices are a set of2D images extracted along the time dimension of image sequences. They encode rich set of motion clues for shot similarity measure. Because motion is depicted as texture orientation in temporal slices, we utilize various texture features such as tensor histogram, Gabor feature, and the statistical feature of co-occurrence matrix extracted directly from slices for motion description and retrieval. In this way, motion retrieval can be treated in a similar way as texture retrieval problem. Experimental results indicate that the features extracted from slices perform satisfactorily in the sport video domain and are, in general, superior to the histogram of MPEG motion vector.