Type of Material: | Thesis |
Title: | Intelligent multimodel content based video retrieval |
Researcher: | Prasanna, S |
Guide: | Purushothaman, S |
Department: | School of Computing Sciences |
Publisher: | Vels University |
Place: | Chennai |
Year: | 2012 |
Language: | Arabic |
Subject: | Computer sciences | Artificial neural network | Video retrieval |
Dissertation/Thesis Note: | PhD |
Fulltext: | Shodhganga |
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001 | 256781 | |
003 | IN-AhILN | |
005 | 2019-05-28 23:11:10 | |
008 | __ | 150429t2012||||ii#||||g|m||||||||||ara|| |
035 | __ | |a(IN-AhILN)th_256781 |
040 | __ | |aVEUN_600117|dIN-AhILN |
041 | __ | |aara |
100 | __ | |aPrasanna, S|eResearcher |
110 | __ | |aSchool of Computing Sciences|bVels University|dChennai |
245 | __ | |aIntelligent multimodel content based video retrieval |
260 | __ | |aChennai|bVels University|c2012 |
502 | __ | |bPhD |
518 | __ | |oDate of Notification|d2012 |
520 | __ | |aThis research work presents artificial neural network (ANN) algorithm approach for retrieving a video, based on a query. The queries are a combination of plain text, sound file (wave file), and an image. Based on the combinations of the query, either an |
653 | __ | |aComputer sciences |
653 | __ | |aArtificial neural network |
653 | __ | |aVideo retrieval |
700 | __ | |aPurushothaman, S|eGuide |
856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/9363|yShodhganga |
905 | __ | |anotification |
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