Techniques and systems for image and video retrieval

Citation
Ya. Aslandogan et Ct. Yu, Techniques and systems for image and video retrieval, IEEE KNOWL, 11(1), 1999, pp. 56-63
Citations number
52
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
ISSN journal
10414347 → ACNP
Volume
11
Issue
1
Year of publication
1999
Pages
56 - 63
Database
ISI
SICI code
1041-4347(199901/02)11:1<56:TASFIA>2.0.ZU;2-4
Abstract
Storage and retrieval of multimedia has become a requirement for many conte mporary information systems. These systems need to provide browsing, queryi ng, navigation, and, sometimes, composition capabilities involving various forms of media. In this survey, we review techniques and systems for image and video retrieval. We first look at visual features for image retrieval s uch as color, texture. shape, and spatial relationships. The indexing techn iques are discussed for these features. Nonvisual features include captions , annotations. relational attributes, and structural descriptions. Temporal aspects of video retrieval and video segmentation are discussed next. We r eview several systems for image and video retrieval including research, com mercial. and World Wide Web-based systems. We conclude with an overview of current challenges and future trends for image and Video retrieval.