Papers Unsupervised Video Summarization
“Unsupervised Video Summarization” 태그가 달린 논문 32편 · 필터 해제
Global-and-Local Relative Position Embedding for Unsupervised Video Summarization
In order to summarize a content video properly, it is important to grasp the sequential structure of video as well as the long-term dependency between frames. The necessity of them is more obvious, especially for unsuper…
Computational EfficiencyPositionUnsupervised Video SummarizationVideo SummarizationUnsupervised Video Summarization via Attention-Driven Adversarial Learning
This paper presents a new video summarization approach that integrates an attention mechanism to identify the significant parts of the video, and is trained unsupervisingly via generative adversarial learning. Starting f…
Unsupervised Video SummarizationVideo SummarizationILS-SUMM: Iterated Local Search for Unsupervised Video Summarization
In recent years, there has been an increasing interest in building video summarization tools, where the goal is to automatically create a short summary of an input video that properly represents the original content. We …
Metaheuristic OptimizationUnsupervised Video SummarizationVideo SummarizationA Stepwise, Label-based Approach for Improving the Adversarial Training in Unsupervised Video Summarization
In this paper we present our work on improving the efficiency of adversarial training for unsupervised video summarization. Our starting point is the SUM-GAN model, which creates a representative summary based on the int…
BenchmarkingUnsupervised Video SummarizationVideo SummarizationUnsupervised video summarization framework using keyframe extraction and video skimming
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 fundamental challenge of extracting information from videos i…
ClusteringUnsupervised Video SummarizationVideo SummarizationCycle-SUM: Cycle-consistent Adversarial LSTM Networks for Unsupervised Video Summarization
In this paper, we present a novel unsupervised video summarization model that requires no manual annotation. The proposed model termed Cycle-SUM adopts a new cycle-consistent adversarial LSTM architecture that can effect…
Unsupervised Video SummarizationVideo SummarizationFrameRank: A Text Processing Approach to Video Summarization
Video summarization has been extensively studied in the past decades. However, user-generated video summarization is much less explored since there lack large-scale video datasets within which human-generated video summa…
Unsupervised Video SummarizationVideo SummarizationDiscriminative 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 SummarizationUnsupervised Object-Level Video Summarization with Online Motion Auto-Encoder
Unsupervised video summarization plays an important role on digesting, browsing, and searching the ever-growing videos every day, and the underlying fine-grained semantic and motion information (i.e., objects of interest…
ObjectUnsupervised Video SummarizationVideo SummarizationDeep 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+6Unsupervised Video Summarization With Adversarial LSTM Networks
This paper addresses the problem of unsupervised video summarization, formulated as selecting a sparse subset of video frames that optimally represent the input video. Our key idea is to learn a deep summarizer network t…
Unsupervised Video SummarizationVideo SummarizationTVSum: Summarizing Web Videos Using Titles
Video summarization is a challenging problem in part because knowing which part of a video is important requires prior knowledge about its main topic. We present TVSum, an unsupervised video summarization framework that …
DescriptiveImage RetrievalUnsupervised Video SummarizationVideo Summarization