dvmmPub139

Di Zhong, Shih-Fu Chang. Video Object Model and Segmentation for Content-Based Video Indexing. In IEEE International Symposium on Circuits and Systems (ISCAS'97), Special Session on Networked Multimedia Technology and Application, Hong Kong, June 1997.

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Abstract

Object segmentation and tracking is a key component for new generation of digital video representation, transmission and manipulations. Example applications include content-based video database and video editing. In this paper, we present a general schema for video object modeling, which incorporates low-level visual features and hierarchical grouping. The schema provides a general framework for video object extraction, indexing, and classification. In addition, we present new video segmentation and tracking algorithms based on salient color and affine motion features. Color feature is used for intra-frame segmentation; affine motion is used for tracking image segments over time. Experimental evaluation results using several test video streams are included

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Di Zhong
Shih-Fu Chang

BibTex Reference

@InProceedings{dvmmPub139,
   Author = {Zhong, Di and Chang, Shih-Fu},
   Title = {Video Object Model and Segmentation for Content-Based Video Indexing},
   BookTitle = {IEEE International Symposium on Circuits and Systems (ISCAS'97), Special Session on Networked Multimedia Technology and Application},
   Address = {Hong Kong},
   Month = {June},
   Year = {1997}
}

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