A multimedia-based patterns retrieval from database patterns and storing

Khedekar Vilas Baburao and Dharmendra Singh Rajput

International Journal of Industrial and Systems Engineering, 2025, vol. 51, issue 4, 435-468

Abstract: In this work, a novel multimedia Pattern retrieval system is introduced that encapsulates three major phases: 1) feature extraction; 2) pattern generation; 3) pattern matching. The SURF features have been extracted from the audio input and text input. In addition, the video input is converted into RGB to greyscale format, and then the SURF features are extracted from it. The pattern generation phase includes three stages: 1) scaling of features; 2) rules generation with Association rule mining algorithm; 3) optimised rule generation. Initially, the extracted feature is scaled within limits 1 to 20, and the rules are generated for the video, audio, and text signals separately using the Association rule mining algorithm. Moreover, the optimised rules are generated from the extracted rules using the improved GOA model. Then, using the map-reduce framework, the correlation between them is validated.

Keywords: multi-media; pattern generation; pattern retrieval; apriori algorithm; IGWO. (search for similar items in EconPapers)
Date: 2025
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