• ASEENA SHAIK BABU
• BALLEPU NAVEEN KUMAR

Video resemblance checking is the most time-consuming and cost-effective operation if you have a huge database. As the demand for visual information of rich material develops, effective and rapid manipulations of large video datasets are becoming increasingly desirable. There have been numerous experiments on content-based video retrieval. Despite its utility, video subsequence identification, which entails locating information in a long video sequence that is comparable to a brief query clip, has gotten little attention. This paper provides a graph transformation and matching solution to this problem, with the purpose of detecting potential changes in ordering. The mapping relationship between the query and database video is initially represented by a bipartite graph, which is then used to locate similar frames using a novel batch query approach. Using a Boolean search, the closely matching chunks of the long sequence are then retrieved, and certain irrelevant subsequences are pruned. Maximum Size Matching reduces the amount of candidates by generating subgraphs from the query and candidate subsequences during the filtering stage. Using a complete video similarity model that takes into consideration visual content, temporal order, and frame alignment information, Sub-Maximum Similarity Matching is employed during the refinement process to determine the subsequence with the highest aggregate score among all candidates.

VIDEO BASED QUERY PROCESSING USING A GRAPH TRANSFORMATION AND MATCHING SOLUTION

"VIDEO BASED QUERY PROCESSING USING A GRAPH TRANSFORMATION AND MATCHING SOLUTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.187-192, February-2019, Available :http://www.jetir.org/papers/JETIRFE06034.pdf

"VIDEO BASED QUERY PROCESSING USING A GRAPH TRANSFORMATION AND MATCHING SOLUTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp187-192, February-2019, Available at : http://www.jetir.org/papers/JETIRFE06034.pdf