A Survey of Automatic Video Summarization Techniques

Over the past few years, there has been a massive increase in amount of video content created. Massive growth in video content poses problem of information overload and management of content. In order to manage the growing videos on the web and also to extract an efficient and valid information from the videos, more attention has to be paid towards video and image processing technologies. Video summaries provide condensed and succinct representations of the content of a video stream through a combination of still images, video segments, graphical representations and textual descriptors. In the last few decades lot of work has been carried out in this area. This paper reviews some of the recent work on content-based multimedia information retrieval and discusses their role in current research directions which include browsing and search paradigms, user studies, effective computing, learning, semantic queries, new features and media types, high performance indexing, and evaluation techniques. Based on the current state of the art, we also discuss the major challenges for the future.

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