Please use this identifier to cite or link to this item: https://doi.org/10.1007/BF01225243
Title: Automatic parsing and indexing of news video
Authors: Zhang, H. 
Tan, S.Y. 
Smoliar, S.W. 
Yihong, G.
Keywords: Image processing
Video database
Video indexing
Video parsing
Video retrieval
Issue Date: Jan-1995
Source: Zhang, H.,Tan, S.Y.,Smoliar, S.W.,Yihong, G. (1995-01). Automatic parsing and indexing of news video. Multimedia Systems 2 (6) : 256-266. ScholarBank@NUS Repository. https://doi.org/10.1007/BF01225243
Abstract: Automatic construction of content-based indices for video source material requires general semantic interpretation of both images and their accompanying sounds; but such a broadly-based semantic analysis is beyond the capabilities of the current technologies of machine vision and audio signal analysis. However, if one can assume a limited and well-demarcated body of domain knowledge for describing the content of a body of video, then it becomes easier to interpret a video source in terms of that domain knowledge. This paper presents our work on using domain knowledge to parse news video programs and to index them on the basis of their visual content. Models based on both the spatial structure of image frames and the temporal structure of the entire program have been developed for news videos, along with algorithms that apply these models by locating and identifying instances of their elements. Experimental results are also discussed in detail to evaluate both the models and the algorithms that use them. Finally, proposals for future work are summarized. © 1995 Springer-Verlag.
Source Title: Multimedia Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/50535
ISSN: 09424962
DOI: 10.1007/BF01225243
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