Recent Progress in Image and Video Segmentation for CBVIR

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Author(s): Yu-Jin Zhang (Tsinghua University, Beijing, China)
Copyright: 2009
Pages: 6
Source title: Encyclopedia of Information Science and Technology, Second Edition
Source Author(s)/Editor(s): Mehdi Khosrow-Pour (Information Resources Management Association, USA)
DOI: 10.4018/978-1-60566-026-4.ch515
ISBN13: 9781605660264
ISBN10: 1605660264
EISBN13: 9781605660271

Keywords: Information Resources Management / Information Science Reference / Library and Information Science

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Abstract

A simple search from EI Compendex by using the term “image segmentation” only in title field could produce around 5000 records (Zhang, 2006). However, as no general theory for image segmentation for different application domains, particular algorithms have been developed. The domain of Content-Based Image Retrieval (CBIR) is such a typical example, where many specific techniques have been proposed. An introduction focused on research works before 2004 can be found in Zhang (2005). This paper is an up-to-date and extended version from CBIR to CBVIR (Content-Based Visual Information Retrieval) by including CBVR (Content- Based Video Retrieval), which focused on the progress in last 3 years, and especially on video segmentation.

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Recent Progress in Image and Video Segmentation for CBVIR

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