Document (#29257)

Author

Smith, J.R.

Title

Content-based access of image and video libraries

Source

Encyclopedia of library and information science. Vol.72, [=Suppl.35]

Imprint

New York : Dekker

Year

2002

Pages

S.40-61

Abstract

With the tremendous growth in digital image and video data, it is becoming increasingly important to effectively store, search, and retrieve such data. Recent advances in multimedia databases have resulted in technologies for managing a variety of multimedia formats, including images, video, audio, and text. In particular, developments in content-based retrieval have brought new capabilities for querying and accessing images and video by content. Content-based access has been shown to improve the ability to effectively search, filter, and access images and video. Recent research has investigated content-based access along a number of different dimensions, including: featuresperceptual attributes of the image and video content, such as color, texture, and shape; structure-spatiotemporal organization of image and video information content, such as segments and regions; models-collections, clusters, and feature classes; and semantics-real-world entities and scenes depicted in the images and video. Overall, contentbased access of image and video libraries requires the confluence of many diverse technologies related to content analysis, indexing, and querying at these different levels.

Form

Bilder
Videos

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