Keyframe Extraction for Video Tagging & Summarization

Currently, online video distributed via online video platforms like YouTube experiences more and more popularity. We propose an approach of keyframe extrac- tion based on unsupervised learning for video retrieval and video summarization. Our approach uses shot boundary detection to segment the video into shots and the k-means algorithm to determine cluster representatives for each shot that are used as keyframes. Furthermore we performed an additional clustering on the extracted keyframes to pro- vide a video summarization. To test our methods we used a database of videos down- loaded from YouTube where our results show (1) an improvement of retrieval and (2) compact summarization examples. GI-Topic: KI-BV (artificial intelligence - image understanding)