CONTENT BASED VIDEO RETRIEVAL SYSTEM

Madhav Gitte, Harshal Bawaskar, Sourabh Sethi, Ajinkya Shinde

Abstract: Video retrieval is a young field which has its genealogy rooted in artificial intelligence, digital signal processing, statistics, natural language understanding, databases, psychology, computer vision, and pattern recognition. However, none of these parental fields alone has been able to directly solve the retrieval problem. In this paper we present a System that supports video mining from multimedia warehouse using multimodal feature has two stages, the first one is building the multimedia warehouse and the second one is retrieving the video from that multimedia warehouse. The Video Retrieval system includes various steps: Video Segmentation, Key frames Selection, Feature Extraction. For retrieving the video from warehouse, the retrieval subsystem processes the presented query, performs similarity matching operations and this can be done using Euclidian Distance Algorithm, and finally displays the result to end user

Keywords: Video Segmentation, Key-frame Selection, Feature Extraction, Similarity Matching etc

DOI: https://doi.org/10.15623/ijret.2014.0306079