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Semantic web for content based video...

Chittillappily Sebastine, Sancho.

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Semantic web for content based video retrieval.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Semantic web for content based video retrieval./
Author:	Chittillappily Sebastine, Sancho.
Description:	50 p.
Notes:	Source: Masters Abstracts International, Volume: 48-06, page: 3872.
Contained By:	Masters Abstracts International48-06.
Subject:	Information Technology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1485098
ISBN:	9781124085135

Semantic web for content based video retrieval.
Chittillappily Sebastine, Sancho.

Semantic web for content based video retrieval. - 50 p.

Source: Masters Abstracts International, Volume: 48-06, page: 3872.

Thesis (M.S.)--The University of Texas at Dallas, 2010.

This work aims to provide a semantic web based framework for content-based video retrieval. Currently, we do not have scalable integration platforms to represent extracted features from videos, so that they could be indexed and searched. The task of indexing extracted features from videos is a difficult challenge, due to the diverse nature of the features and the temporal dimensions of videos. We present a semantic web based framework for automatic feature extraction, storage, indexing and retrieval of videos. Videos are represented as interconnected set of semantic resources. Furthermore, we suggest a new ranking algorithm for finding related resources which could be used in a semantic web based search engine. Finally, we define an algorithm for refinement of noise keywords to improve the quality of keywords.

ISBN: 9781124085135Subjects--Topical Terms:

1030799
Information Technology.

Semantic web for content based video retrieval.
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100 1 $a Chittillappily Sebastine, Sancho. $3 1672549
245 1 0 $a Semantic web for content based video retrieval.
300 $a 50 p.
500 $a Source: Masters Abstracts International, Volume: 48-06, page: 3872.
500 $a Adviser: Balakrishnan Prabhakaran.
502 $a Thesis (M.S.)--The University of Texas at Dallas, 2010.
520 $a This work aims to provide a semantic web based framework for content-based video retrieval. Currently, we do not have scalable integration platforms to represent extracted features from videos, so that they could be indexed and searched. The task of indexing extracted features from videos is a difficult challenge, due to the diverse nature of the features and the temporal dimensions of videos. We present a semantic web based framework for automatic feature extraction, storage, indexing and retrieval of videos. Videos are represented as interconnected set of semantic resources. Furthermore, we suggest a new ranking algorithm for finding related resources which could be used in a semantic web based search engine. Finally, we define an algorithm for refinement of noise keywords to improve the quality of keywords.
590 $a School code: 0382.
650 4 $a Information Technology. $3 1030799
650 4 $a Information Science. $3 1017528
650 4 $a Computer Science. $3 626642
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690 $a 0984
710 2 $a The University of Texas at Dallas. $3 1018411
773 0 $t Masters Abstracts International $g 48-06.
790 1 0 $a Prabhakaran, Balakrishnan, $e advisor
790 $a 0382
791 $a M.S.
792 $a 2010
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1485098