International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,April 2017,

Topic : Video Mining using Query by Example

Authors:Rosebud Valadares ||

Abstract:When technology advances and data explodes, development takes place. As the industry grasps every opportunity to shift its strategy towards satisfying the consumer, the consumer’s demand further increases. Today, people have advanced from using black and white text, to the more effective and appealing realm of multimedia. With this, the consumer demand has evolved from text-based retrieval to content-based retrieval. In this paper, Video Mining is carried out using content-based retrieval. The content-based Video Mining system aims to effectively retrieve videos using the Query by Example approach wherein search is made based on a query video. The system has two components – a video feature repository and a Match-Retrieve module. On accepting a query video, it is first segmented and its color, audio and meta-data features extracted. These features are used to perform the required video mining based on similarity to the contents of the video feature repository.

Keywords: Content Based Video Mining (CBVM), Video segmentation, repository, feature extraction, retrieval

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DOI: 01.1617/vol4/iss4/pid89542


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799


ACCEPTANCE RATIO

ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
Contact : info@ijercse.com


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