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Unsupervised 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 …
selecting a sparse subset of video frames that optimally represent the input video. Our key …
Tvsum: 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 …
video is important requires prior knowledge about its main topic. We present TVSum, an …
Video summarization using fully convolutional sequence networks
This paper addresses the problem of video summarization. Given an input video, the goal is
to select a subset of the frames to create a summary video that optimally captures the …
to select a subset of the frames to create a summary video that optimally captures the …
Video summarization by learning submodular mixtures of objectives
We present a novel method for summarizing raw, casually captured videos. The objective is
to create a short summary that still conveys the story. It should thus be both, interesting and …
to create a short summary that still conveys the story. It should thus be both, interesting and …
Predicting head movement in panoramic video: A deep reinforcement learning approach
Panoramic video provides immersive and interactive experience by enabling humans to
control the field of view (FoV) through head movement (HM). Thus, HM plays a key role in …
control the field of view (FoV) through head movement (HM). Thus, HM plays a key role in …
Improved seam carving for video retargeting
Video, like images, should support content aware resizing. We present video retargeting
using an improved seam carving operator. Instead of removing 1D seams from 2D images …
using an improved seam carving operator. Instead of removing 1D seams from 2D images …
Video co-summarization: Video summarization by visual co-occurrence
We present video co-summarization, a novel perspective to video summarization that
exploits visual co-occurrence across multiple videos. Motivated by the observation that …
exploits visual co-occurrence across multiple videos. Motivated by the observation that …
Discriminative 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 …
automatically extracts key-shots from an input video. Specifically, we tackle two critical …
F-DES: Fast and deep event summarization
In the multimedia era a large volume of video data can be recorded during a certain period
of time by multiple cameras. Such a rapid growth of video data requires both effective and …
of time by multiple cameras. Such a rapid growth of video data requires both effective and …
Video synopsis algorithms and framework: A survey and comparative evaluation
With the increase in video surveillance data, techniques such as video synopsis are being
used to construct small videos for analysis, thereby saving storage resources. The video …
used to construct small videos for analysis, thereby saving storage resources. The video …