Video Summarization is the process of compacting a video down to only important components in the video.
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Video summarization aims to facilitate large-scale video browsing by producing short, concise summaries that are diverse and representative of original videos.
Ranked #2 on Unsupervised Video Summarization on TvSum
Video is one of the robust sources of information and the consumption of online and offline videos has reached an unprecedented level in the last few years.
A test video is processed by forming correspondences between its clips and the clips of reference videos with known semantics, following which, reference semantics can be transferred to the test video.
Ranked #5 on Video Retrieval on MSR-VTT
Although the problem of automatic video summarization has recently received a lot of attention, the problem of creating a video summary that also highlights elements relevant to a search query has been less studied.
We consider shot-based video summarization where the summary consists of a subset of the video shots which can be of various lengths.
In this paper, we propose a Detect-to-Summarize network (DSNet) framework for supervised video summarization.
Ranked #1 on Video Summarization on SumMe
This paper addresses the task of query-focused video summarization, which takes user's query and a long video as inputs and aims to generate a query-focused video summary.
Video summarization is a challenging under-constrained problem because the underlying summary of a single video strongly depends on users' subjective understandings.