Video Data Retrieval using Image Color Histogram Technique
D. Saravanan, J. Surendiran, Professor, HKBKCE, Bangalore. · International Journal of Engineering and Advanced Technology · 2019
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.