Abstract
Video summarisation is characterised as the process of extracting meaningful frames or segments from a video that best represents the content of the whole video. The proposed framework surveys and categorizes the existing video summarisation models in the recent research works on the basis of genre. The most important phase of video summarisation is the detection of key frames or segments in the video. The strategy for identifying key frames or segments vary for each genre. The various genre analysed are user generated videos, movies and documentary, sports, surveillance, egocentric and informational talk videos with a total of more than 25 varying parameters significant to the respective genre. Comprehensive evaluations of the results obtained from the models are also included based on quantitative and qualitative parameters. The framework will help the user in deciding the technology to be adopted for video summarisation in a particular domain. The framework also aids in deciding the type of summary suitable for each genre and the available datasets in each genre for experimental analysis.
Published Version
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