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Video consumption is being shifted from sit-and-watch to selective skimming.Existing video player interfaces, however, only provide indirect manipulationto support this emerging behavior. Video summarization alleviates this issue tosome extent, shortening a video based on the desired length of a summary as aninput variable. But an optimal length of a summarized video is often notavailable in advance. Moreover, the user cannot edit the summary once it isproduced, limiting its practical applications. We argue that videosummarization should be an interactive, mixed-initiative process in which usershave control over the summarization procedure while algorithms help usersachieve their goal via video understanding. In this paper, we introduceElasticPlay, a mixed-initiative approach that combines an advanced videosummarization technique with direct interface manipulation to help userscontrol the video summarization process. Users can specify a time budget forthe remaining content while watching a video; our system then immediatelyupdates the playback plan using our proposed cut-and-forward algorithm,determining which parts to skip or to fast-forward. This interactive processallows users to fine-tune the summarization result with immediate feedback. Weshow that our system outperforms existing video summarization techniques on theTVSum50 dataset. We also report two lab studies (22 participants) and aMechanical Turk deployment study (60 participants), and show that theparticipants responded favorably to ElasticPlay.

ElasticPlay: Interactive Video Summarization with Dynamic Time Budgets