Advances In Visual Information Management

Author: Hiroshi Arisawa
Editor: Springer
ISBN: 0387355049
File Size: 22,76 MB
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Video segmentation is the most fundamental process for appropriate index ing and retrieval of video intervals. In general, video streams are composed 1 of shots delimited by physical shot boundaries. Substantial work has been done on how to detect such shot boundaries automatically (Arman et aI. , 1993) (Zhang et aI. , 1993) (Zhang et aI. , 1995) (Kobla et aI. , 1997). Through the inte gration of technologies such as image processing, speech/character recognition and natural language understanding, keywords can be extracted and associated with these shots for indexing (Wactlar et aI. , 1996). A single shot, however, rarely carries enough amount of information to be meaningful by itself. Usu ally, it is a semantically meaningful interval that most users are interested in re trieving. Generally, such meaningful intervals span several consecutive shots. There hardly exists any efficient and reliable technique, either automatic or manual, to identify all semantically meaningful intervals within a video stream. Works by (Smith and Davenport, 1992) (Oomoto and Tanaka, 1993) (Weiss et aI. , 1995) (Hjelsvold et aI. , 1996) suggest manually defining all such inter vals in the database in advance. However, even an hour long video may have an indefinite number of meaningful intervals. Moreover, video data is multi interpretative. Therefore, given a query, what is a meaningful interval to an annotator may not be meaningful to the user who issues the query. In practice, manual indexing of meaningful intervals is labour intensive and inadequate.
Advances in Visual Information Management
Language: en
Pages: 410
Authors: Hiroshi Arisawa, Tiziana Catarci
Categories: Computers
Type: BOOK - Published: 2013-03-20 - Publisher: Springer

Video segmentation is the most fundamental process for appropriate index ing and retrieval of video intervals. In general, video streams are composed 1 of shots delimited by physical shot boundaries. Substantial work has been done on how to detect such shot boundaries automatically (Arman et aI. , 1993) (Zhang et
Advances in Visual Information Systems
Language: en
Pages: 586
Authors: Guoping Qiu, Clement Leung, Xiang-Yang Xue, Robert Laurini
Categories: Computers
Type: BOOK - Published: 2007-11-18 - Publisher: Springer

This book constitutes the thoroughly refereed post-proceedings of the 9th International Conference on Visual Information Systems, VISUAL 2007, held in Shanghai, China, in June 2007. The papers are organized in topical section on image and video retrieval, visual biometrics, intelligent visual information processing, visual data mining, ubiquitous and mobile visual
Advances in Visual Information Systems
Language: en
Pages: 545
Authors: Robert Laurini
Categories: Computers
Type: BOOK - Published: 2003-07-31 - Publisher: Springer

Presently, in our world, visual information dominates. The turn of the millenium marks the age of visual information systems. Enabled by picture sensors of all kinds turning digital, visual information will not only enhance the value of existing information, it will also open up a new horizon of previously untapped
Recent Advances in Visual Information Systems
Language: en
Pages: 328
Authors: Shi-Kuo Chang, Zen Chen, Suh-Yin Lee
Categories: Computers
Type: BOOK - Published: 2003-08-01 - Publisher: Springer

Visualinformationsystemsareinformationsystemsforvisualcomputing.Visual computing is computing on visual objects. Some visual objects such as images are inherently visual in the sense that their primary representation is the visual representation.Somevisualobjectssuchasdatastructuresarederivativelyvisual in the sense that their primary representation is not the visual representation, but can be transformed into a visual representation. Images and data
Advances in Visual Information Management
Language: en
Pages: 428
Authors: Hiroshi Arisawa, Tiziana Catarci
Categories: Computers
Type: BOOK - Published: 2014-01-15 - Publisher:

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