NDLI: Performance gain of content based video retrieval technique using intermediate block truncation coding on different color spaces

Content Provider	IEEE Xplore Digital Library
Author	Thepade, S.D. Subhedarpage, K.S. Mali, A.A. Vaidya, T.S.
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Eng., Pimpri-Chinch wad Coll. of Eng., Pune, India (Thepade, S.D.; Subhedarpage, K.S.; Mali, A.A.; Vaidya, T.S.)
Abstract	The elementary technology for video retrieval technique in computing is very sensitive to the user's query not to the contents of video. Every user has perspective to the video in the world of videos. So to identify this is difficult using text based video retrieval as this retrieval is based on text as processing input for video retrieval. The better approach for this video retrieval is content based video retrieval which is gaining acceptance in world of videos as a technique. In this paper, a novel approach for increasing the performance of retrieval by using intermediate levels with Block Truncation Coding (BTC) is presented. For this, the experimental data set is built up of 10 different categories in which 50 videos are present per category. In this paper, the approach of generation of feature by using $20^{th}$ frequency frames of videos from data set considered. Each of the extracted frame is intermediated by intermediate blocks (which is considered as 4 and 9) and then BTC applied on each block to get feature vector suing on 7 different color spaces as KLUV YCbCr, YCgCb, YIQ, YUV RGB, and XYZ. The feature vectors generated are processed and best match results are achieved. The similarity criteria used is absolute difference (AD) for calculating similarity or difference among videos and query. The performance of this technique is confirmed with help of cross over points of precision and recall values for each color space. The higher performance is achieved is in YIQ color space using intermediate block level 16.
Sponsorship	IEEE Madras Sect.
Starting Page	1017
Ending Page	1020
File Size	566353
Page Count	4
File Format	PDF
ISBN	9781467348652
e-ISBN	9781467348669
DOI	10.1109/iccsp.2013.6577210
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-03
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Intermediate levels Educational institutions Vectors Encoding Content Based Video Retrieval (CBVR) Block Truncation Coding (BTC) Image coding Image color analysis Absolute Difference (AD) Feature Vectors Feature extraction Precision and recall
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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