Content-based video analysis for knowledge discovery

Chia Hung Yeh, Shih Hung Lee, C. C.Jay Kuo

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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.

Original languageEnglish
Title of host publicationHandbook of Pattern Recognition and Computer Vision, 3rd Edition
PublisherWorld Scientific Publishing Co.
Pages543-558
Number of pages16
ISBN (Electronic)9789812775320
ISBN (Print)9812561056, 9789812561053
DOIs
Publication statusPublished - 2005 Jan 1
Externally publishedYes

ASJC Scopus subject areas

  • Computer Science(all)

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