Call For Paper Volume:4 Issue:10 Oct'2017 |


Publication Date : 10/07/2015

Author(s) :

Miss B. S. Lalwani.

Conference Name :
4th International Conference on Recent Trends in Engineering & Technology(ICRTET-2015) July 2-4,2015 Organized by SNJB's KBJ College of Engineering,Chandwad,Nashik,Maharashtra,India

Abstract :

Query by example based video retrieval aims at automatic and easily retrieval of video samples which are similar to a user-provided example from video database. Considering the much of prior work on video analysis support, retrieval of videos using text queries are most common. Also the given text queries must be as much descriptive to retrieve the most relevant video. In the proposed method, a set of visual features like color and texture are extracted from key frame level analysis. And then those visual features are applied to refine retrieval and the similar/relevant videos are provided to user based on ranking. This way the need of descriptive text based query search is eliminated and also works for the searching of the videos which are not having much keywords or known words to search for it.

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