Multi Feature Content Based Video Retrieval Using High Level Semantic Concept
Content-based retrieval allows finding information by searching its content rather than its attributes. The challenge facing Content-Based Video Retrieval (CBVR) is to design systems that can accurately and automatically process large amounts of heterogeneous videos. Moreover, content-based video retrieval system requires in its first stage to segment the video stream into separate shots. Afterwards features are extracted for video shots representation. And finally, choose a similarity/distance metric and an algorithm that is efficient enough to retrieve query - related videos results. There are two main issues in this process; the first is how to determine the best way for video segmentation and key frame selection.