Papers Supervised Video Summarization
“Supervised Video Summarization” 태그가 달린 논문 28편 · 필터 해제
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
In this paper, we propose Test-Time Training, a general approach for improving the performance of predictive models when training and test data come from different distributions. We turn a single unlabeled test sample in…
Building change detection for remote sensing imagesCARLA MAP Leaderboardimage-classificationImage Classification+5Discriminative Feature Learning for Unsupervised Video Summarization
In this paper, we address the problem of unsupervised video summarization that automatically extracts key-shots from an input video. Specifically, we tackle two critical issues based on our empirical observations: (i) In…
Supervised Video SummarizationUnsupervised Video SummarizationVideo SummarizationWeakly-supervised Video Summarization using Variational Encoder-Decoder and Web Prior
Video summarization is a challenging under-constrained problem because the underlying summary of a single video strongly depends on users' subjective understandings. Data-driven approaches, such as deep neural networks, …
DecoderSaliency PredictionSupervised Video SummarizationVideo SummarizationImproving Sequential Determinantal Point Processes for Supervised Video Summarization
It is now much easier than ever before to produce videos. While the ubiquitous video data is a great source for information discovery and extraction, the computational challenges are unparalleled. Automatically summarizi…
DiversityPoint ProcessesSupervised Video SummarizationVideo SummarizationHow Local is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization
The large volume of video content and high viewing frequency demand automatic video summarization algorithms, of which a key property is the capability of modeling diversity. If videos are lengthy like hours-long egocent…
DiversityPoint ProcessesReinforcement LearningSupervised Video Summarization+1Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward
Video summarization aims to facilitate large-scale video browsing by producing short, concise summaries that are diverse and representative of original videos. In this paper, we formulate video summarization as a sequent…
Decision MakingDeep Reinforcement LearningDiversityreinforcement-learning+6Video Summarization with Attention-Based Encoder-Decoder Networks
This paper addresses the problem of supervised video summarization by formulating it as a sequence-to-sequence learning problem, where the input is a sequence of original video frames, the output is a keyshot sequence. O…
DecoderSupervised Video SummarizationVideo SummarizationDiverse Sequential Subset Selection for Supervised Video Summarization
Video summarization is a challenging problem with great application potential. Whereas prior approaches, largely unsupervised in nature, focus on sampling useful frames and assembling them as summaries, we consider video…
Supervised Video SummarizationVideo Summarization