• Bhagatsingh D. Jitkar
• Dr. Suhas D Raut.

Multimedia provides an upscale content of knowledge and a large quantity of knowledge square measure obtainable within the field of video retrieval. To achieve the goal of indexing and retrieving video shots by their content still an issue under debate. By this paper, we tend to gift a unique approach video indexing and content-based set of descriptors for the classification of video shots into purposeful semantic classes which may then be used once browsing a video dataset. We tend to additionally add three normalized native HSV histograms, extracted from explicit key-frames we tend to choose with a straightforward nevertheless economical approach, as color descriptors. Our experimental implementation is tested on real-world video shots exploitation a categorization supported genetic approach and tags in image and video sequences. The results demonstrate that the planned options can do high success rates not solely on narrow and specialized categories however additionally on additional generic ones.

Multimedia, indexing, classification, Multimedia, Genetic Algorithm, Histogram.

"Advanced video indexing scheme using Genetic Algorithm with Tag", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.878-884, June-2018, Available :http://www.jetir.org/papers/JETIR1806376.pdf

"Advanced video indexing scheme using Genetic Algorithm with Tag", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp878-884, June-2018, Available at : http://www.jetir.org/papers/JETIR1806376.pdf