VISUAL ROBUST MULTIMEDIA SEARCH FRAMEWORK FOR EFFICIENT QUERY OPTIMIZATION

Abstract

Internet Searches have always been the one stop solution for 90% of Internet users. Such searches can be classified into text based searches and multimedia search which includes image or video related search or combination of both. Are the users satisfied with the search results? Are these multimedia query searches yielding the expected results? Primary issues involve relevance of search results and time taken to fetch the multimedia query fired by the audience. Query addressing framework is utilized to furnish replies with instinctive and precise media substance, rather than literary response. Existing Video and Image results are unable to provide useful text based responses to suitable inquiries. There is a requirement for a visual robust framework which is more assorted to the media information and highlighting response to the inquiries. Proposed Visual Robust Multimedia Search (VRMS) framework would provide a robust mechanism for generating published replies with media information. The framework involves the measures for "Answer Relevance Score”, which is an important criterion for observing the pertinence of each answer returned by the framework. Answer Relevance score is calculated using number of applicable factors. Exploratory outcomes show that the responses returned by the framework have better performance and based on this score the framework shows better execution when contrasted with the current mixed media question addressing framework. This paper provides a breakthrough for novice or such audience who may not be conversant with various Search Engine Optimizers in the Multimedia Query domain.