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VSUM: Summarizing from Videos
IEEE Sixth International Symposium on Multimedia Software Engineering
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This paper proposes a video summarization system, VSUM. VSUM first identifies all caption words, and then adopts a technique to find the important segments. ...
Summarization on produced type of video data (like news or movies) is to find important segments that contain rich information. ...
This paper presents a system, VSUM, for automatic summarization from produced type of video data. ...
doi:10.1109/mmse.2004.90
dblp:conf/ismse/WuLC04
fatcat:dbv7l2cxj5hslpdwxe3w6xy7le
NII_UIT AT TRECVID 2020
2020
TREC Video Retrieval Evaluation
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Specifically, we propose an effective heuristic approach
Chapter 2 Video Summarization (VSUM)
ABSTRACT Video summarization is a task to produce a short video skim that preserve the most important content ...
Video Summarization (VSUM) is a new task in TRECVID 2020 where each team have to build a system that summaries major life events of specific characters. ...
dblp:conf/trecvid/LeVNDPVNNNWS20
fatcat:avhjsvgl2fadhlk54gxbpmdmcu
A stereo machine for video-rate dense depth mapping and its new applications
1996
Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition
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We have developed a video-rate stereo machine that has the capability of generating a dense depth map at the video rate. ...
The performance bench marks of the CMU video-rate stereo machine are: 1) multi image input of up to 6 cameras; 2) throughput of 30 million point × disparity measurement per second; 3) frame rate of 30 ...
Z Keying In visual media communication and display, it is often necessary to merge a video signal from a real camera and a synthetic video signal from computer graphics. ...
doi:10.1109/cvpr.1996.517074
dblp:conf/cvpr/KanadeYOKT96
fatcat:2khr3swnpzff5ceve6p5lwjvfe
Using Fan-Made Content, Subtitles and Face Recognition for Character-Centric Video Summarization
2020
TREC Video Retrieval Evaluation
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This paper describes a fan-driven and character-centered approach proposed by the MeMAD team for the 2020 TRECVID [Awad et al. 2020] Video Summarization Task. ...
This additional data source is used together with the provided videos, scripts and master shot boundaries. ...
ACM Reference
INTRODUCTION Considering video summarization as an important task for digital content retrieval and reuse, the TRECVID [Awad et al. 2020 ] Video Summarization Task (VSUM) 2020 aims at ...
dblp:conf/trecvid/HarrandoRLTLVK20
fatcat:dihlrb7bxbesvnvuxjvldrlpz4
Text-Image-Video Summary Generation Using Joint Integer Linear Programming
[chapter]
2020
Lecture Notes in Computer Science
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In this paper, we propose a novel research problem of text-image-video summary generation (TIVS). We first develop a multi-modal dataset containing text documents, images and videos. ...
We then propose a novel joint integer linear programming multi-modal summarization (JILP-MMS) framework. We report the performance of our model on the developed dataset. ...
Multi-modal summarization has various applications ranging from meeting recordings summarization [7] , sports video summarization [25] , movie summarization [8] to tutorial summarization [13] . ...
doi:10.1007/978-3-030-45442-5_24
fatcat:44tsoiilmjcwnozflswog56k3a
Unsupervised Video Summarization via Multi-source Features
[article]
2021
arXiv
pre-print
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Video summarization aims at generating a compact yet representative visual summary that conveys the essence of the original video. ...
Finally, we perform error analysis on videos for the two benchmark datasets to summarize and spot the factors that lead to misclassifications. ...
The Video SUMMarization(VSUMM) approach [4] is one of the earliest methods for static video summarization, it extracts color features from the video and then performs k-medoid clustering to acquire keyframes ...
arXiv:2105.12532v1
fatcat:xvwhtzewqzerppiwfmgyiczpua
Detection of inspiratory flow limitation during sleep by computer assisted respiratory inductive plethysmography
2000
European Respiratory Journal
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Absence of mouth breathing was verified by video monitoring using a low light video camera and an infrared light source. ...
VRC: rib cage volume; VAB abdominal volume; VSUM: sum of rib cage and abdominal volume; V 'RIP: time derivative of VSUM. ...
doi:10.1034/j.1399-3003.2000.15.24.x
pmid:10759455
fatcat:2earpyxzgzcdfnhshdjlojntgu
ERA: Entity Relationship Aware Video Summarization with Wasserstein GAN
[article]
2021
arXiv
pre-print
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The summarized video from the summarizer will be assumed as the final output, only if the video reconstructed from this summary cannot be discriminated from the original one by the discriminator. ...
Video summarization aims to simplify large scale video browsing by generating concise, short summaries that diver from but well represent the original video. ...
The summarized video from the generator would be assumed as the final output, only if the video reconstructed from this summary could not be discriminated from the original one by the discriminator. ...
arXiv:2109.02625v1
fatcat:fb3muz3rofbnblgmtefgyrl3o4
Video summarization by learning submodular mixtures of objectives
2015
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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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 representative for the input video. Previous methods often used simplified assumptions and only optimized for one of these goals. ...
http://www.berouge.com/
http://vision.ee.ethz.ch/˜gyglim/vsum/ ...
doi:10.1109/cvpr.2015.7298928
dblp:conf/cvpr/GygliGG15
fatcat:wrq4beltcrhvnernoai45n43aa
Educational Videos Subtitles' Summarization Using Latent Dirichlet Allocation and Length Enhancement
2022
Computers Materials & Continua
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Other domains, such as news videos, can apply the proposed method for video summarization. ...
Nowadays, people use online resources such as educational videos and courses. However, such videos and courses are mostly long and thus, summarizing them will be valuable. ...
EDU-VSUM is an English educational videos dataset containing 98 MP4 videos with 98 subtitles files of each video [17] . All videos presented in the dataset are in English. ...
doi:10.32604/cmc.2022.021780
fatcat:dxhxukh3ajgqxoxzt5gccvldwq
Creating Summaries from User Videos
[chapter]
2014
Lecture Notes in Computer Science
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This data paves the way to evaluate summarization methods objectively and to get new insights in video summarization. ...
This paper proposes a novel approach and a new benchmark for video summarization. Thereby we focus on user videos, which are raw videos containing a set of interesting events. ...
Our goal is therefore different from [18, 22] , who summarize video from wearable cameras, which often run for hours. ...
doi:10.1007/978-3-319-10584-0_33
fatcat:t4uapdoz4bd7vcejglrgmattyu
Summarizing Audiovisual Contents of a Video Program
2003
EURASIP Journal on Advances in Signal Processing
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In this paper, we focus on video programs that are intended to disseminate information and knowledge such as news, documentaries, seminars, etc, and present an audiovisual summarization system that summarizes ...
video without having to sacrifice either of them. ...
Video summarization examples can be viewed at http://www.ccrl.com/∼ygong/VSUM/VSUM.html. Figure 1 : 1 System-block diagram.
Givena graph G = (V, E), its MST T can be built in time O(|E|lg|V |). ...
doi:10.1155/s1110865703211082
fatcat:y5kpmyyjandzhjgxyf63cygleq
Scaling Submodular Maximization via Pruned Submodularity Graphs
[article]
2016
arXiv
pre-print
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In news and video summarization tasks, SS is able to substantially reduce both computational costs and memory usage, while maintaining (or even slightly exceeding) the quality of the original (and much ...
Video Summarization We apply lazy greedy, sieve-streaming, and SS to 25 videos from dataset SumMe [13] (http: //www.vision.ee.ethz.ch/~gyglim/vsum/). ...
Experiments on Video Summarization
Video Summarization We apply lazy greedy, sieve-streaming, and SS to 25 videos from video summarization dataset SumMe [13] 2 . ...
arXiv:1606.00399v1
fatcat:djb5djvvg5flpp4ldie6uuulay
TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains
[article]
2021
arXiv
pre-print
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Video to Text Description (VTT), 5. Activities in Extended Video (ActEV), 6. Video Summarization (VSUM). ...
of information from digital video via open, metrics-based evaluation. ...
The Video-to-Text work has been partially supported by Science Foundation Ireland (SFI) as a part of the Insight Centre at Dublin City University (12/RC/2289) and grant number 13/RC/2106 (ADAPT Centre ...
arXiv:2104.13473v1
fatcat:qvxdecwdobfvhgxsgomou6yruu
Multi-agents Architecture for Semantic Retrieving Video in Distributed Environment
[article]
2014
arXiv
pre-print
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In fact, effective and optimal retrieval video information needs a collaborative approach based on multimodal aspects. ...
mandatory tools which palliate to the major intertwining problems raised in the whole process of the video lifecycle (classification, indexing and retrieval). ...
Many systems are based on video summarizing techniques as Open Video Project [12] and VSUM [29] . ...
arXiv:1407.7989v1
fatcat:qmwkkd4e4jedbet4ulg43y5l6u
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