TY - CHAP
T1 - Content-based video analysis for knowledge discovery
AU - Yeh, Chia Hung
AU - Lee, Shih Hung
AU - Kuo, C. C.Jay
N1 - Publisher Copyright:
© 2005 by World Scientific Publishing Co. Pte. Ltd. All rights reserved.
PY - 2005/1/1
Y1 - 2005/1/1
N2 - With the rapid growth of multimedia information, video content analysis becomes crucial when dealing with large amounts of multimedia data, including texts, images, audio, video, and graphics. Video content analysis can be used to facilitate the access to desired content for information retrieval, summarization, and knowledge discovery. The study and development of suitable and effective techniques for video content management and access has been conducted extensively over the last decade. In this chapter, we will first review the characteristics of visual and audio contents and their basic processing techniques. Then, we will discuss semantic approaches to video data understanding and provide an overview of major developments in this field. In particular, we emphasize video knowledge discovery using features of multiple modalities, enhancing collaboration among semantic cues from various kinds of information sources.
AB - With the rapid growth of multimedia information, video content analysis becomes crucial when dealing with large amounts of multimedia data, including texts, images, audio, video, and graphics. Video content analysis can be used to facilitate the access to desired content for information retrieval, summarization, and knowledge discovery. The study and development of suitable and effective techniques for video content management and access has been conducted extensively over the last decade. In this chapter, we will first review the characteristics of visual and audio contents and their basic processing techniques. Then, we will discuss semantic approaches to video data understanding and provide an overview of major developments in this field. In particular, we emphasize video knowledge discovery using features of multiple modalities, enhancing collaboration among semantic cues from various kinds of information sources.
UR - http://www.scopus.com/inward/record.url?scp=84900210425&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84900210425&partnerID=8YFLogxK
U2 - 10.1142/9789812775320_0029
DO - 10.1142/9789812775320_0029
M3 - Chapter
AN - SCOPUS:84900210425
SN - 9812561056
SN - 9789812561053
SP - 543
EP - 558
BT - Handbook of Pattern Recognition and Computer Vision, 3rd Edition
PB - World Scientific Publishing Co.
ER -