Automated semantic structure reconstruction and representation generation for broadcast news

Qian Huang; Zhu Liu; Aaron Rosenberg

doi:10.1117/12.333880

17 December 1998 Automated semantic structure reconstruction and representation generation for broadcast news

Qian Huang, Zhu Liu, Aaron Rosenberg

Proceedings Volume 3656, Storage and Retrieval for Image and Video Databases VII; (1998) https://doi.org/10.1117/12.333880
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

This paper addresses the problem of recovering the semantic structure of broadcast news. A hierarchy of retrievable units is automatically constructed by integrating information from different media. The hierarchy provides a compact, yet meaningful, abstraction of the broadcast news data, similar to a conventional table of content that can serve as an effective index table, facilitating the capability of browsing through large amounts of data in a nonlinear fashion. The recovery of the semantic structure of the data further enables the automated solutions in constructing visual representations that are relevant to the semantics as well as in establishing useful relationships among data units such as topic categorization and content based multimedia hyperlinking. Preliminary experiments of integrating different media for hierarchical segmentation of semantics have yielded encouraging results. Some of the results are presented and discussed in this paper.

Citation Download Citation

Qian Huang, Zhu Liu, and Aaron Rosenberg "Automated semantic structure reconstruction and representation generation for broadcast news", Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); https://doi.org/10.1117/12.333880

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