Video Data Retrieval using Image Color Histogram Technique
D. Saravanan1, J. Surendiran2
1D.Saravanan, Department of Operations & IT, ICFAI Business School (IBS), Hyderabad (Telangana), India.
2J.Surendiran, Professor, HKBKCE, Bangalore (Karnataka), India.
Manuscript received on 01 November 2019 | Revised Manuscript received on 13 November 2019 | Manuscript Published on 22 November 2019 | PP: 2056-2060 | Volume-8 Issue-6S3 September 2019 | Retrieval Number: F13900986S319/19©BEIESP | DOI: 10.35940/ijeat.F1390.0986S319
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Abstract: In this paper, a subspace-based multimedia data-mining framework is proposed for video semantic analysis; specifically Current content management systems support retrieval using low-level features, such as motion, color, and texture. The proposed frameworks achieves full automation via a knowledge-based video indexing and retrieve an appropriate result, and replace a presented object with the retrieval result in real time. Along with this indexing mechanism a histogram-based color descriptors also introduced to reliably capture and represent the color properties of multiple images. Including of this a classification approach is also carried out by the classified associations and by assigning, each of them with a class label, and uses their appearances in the video to construct video indices. Our experimental results demonstrate the performance of the proposed approach.
Keywords: Video Indices, Video Indexing, Histogram
Scope of the Article: Information Retrieval