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Understanding near-duplicate videos
2009
Proceedings of the seventeen ACM international conference on Multimedia - MM '09
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Finally, we propose a user-centric NDVC definition and present implications for how duplicate content should be dealt with by video sharing websites. ...
Most scholars define near-duplicate video clips (NDVC) based on non-semantic features (e.g., different image/audio quality), while a few also include semantic features (different videos of similar content ...
Near-Duplicate Video Clips Turning now our attention to NDVC, it is important to understand the role that duplicated clips play on the way users use video sharing web sites. ...
doi:10.1145/1631272.1631280
dblp:conf/mm/CherubiniOO09
fatcat:rwc7y3nxnjawtchme43xtogyey
Near-duplicate video retrieval
2013
ACM Computing Surveys
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As we survey the works in near-duplicate video retrieval, we comparatively investigate existing variants of the definition of near-duplicate video, describe a generic framework, summarize state-of-the-art ...
This imposes urgent demands on near-duplicate video retrieval as a key role in novel tasks such as video search, video copyright protection, video recommendation, and many more. ...
users, which reflects the real user behavior on generating near-duplicates. ...
doi:10.1145/2501654.2501658
fatcat:7x5th32fijhhbne5jb4oyovjgy
Looking at near-duplicate videos from a human-centric perspective
2010
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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Based on all these findings, we propose a new user-centric NDVC definition and present implications for how duplicate content should be dealt with by video sharing websites. ...
Most scholars define near-duplicate video clips (NDVC) by means of non-semantic features (e.g., different image/audio quality), while a few also include semantic features (i.e., different videos of similar ...
This specific point is relevant to understand what population of users is affected by the problem of near-duplicate videos. ...
doi:10.1145/1823746.1823749
fatcat:7lvo3pleo5bzhefncg2hgxk3di
Equal but different: a contextual analysis of duplicated videos on YouTube
2010
Journal of the Brazilian Computer Society
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Since users can independently share videos in these systems, some videos can be duplicates (i.e., identical or very similar videos). ...
Quantifying these differences is important to understand how users associate metadata to videos and to understand possible reasons that influence the popularity of videos, which is crucial for video information ...
Recently, we have approached the problem of identifying these users using a machine learning approach [4, 5] . ...
doi:10.1007/s13173-010-0019-x
fatcat:qthkhw476zhzfplv427he46dda
Video Skimming
2019
ACM Computing Surveys
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2019 pre-print arXiv:1909.12948v1 fatcat:hky7zywh2fbthi56zl4woox4dq
We present a taxonomy of video skimming approaches, and discuss their evolution highlighting key advances. ...
Being dynamic in nature, video skimming, through temporal connectivity, allows better understanding of the video from its summary. ...
While near duplicate keyframe identification on the basis of visual similarity is performed in [59] , dimensionality reduction based approach is suggested in [125] for user videos. ...
doi:10.1145/3347712
fatcat:h4zbzmdfx5c2rm3dm4cmmzrsoa
Tracking Large-Scale Video Remix in Real-World Events
2013
IEEE transactions on multimedia
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video). ...
In these two events, a high percentage of videos contain remixed content, and it is apparent that traditional news media and citizen journalists have different roles in disseminating remixed content. ...
This gives us a novel way to quantify influence and the importance of content and users in this video-centric information network. ...
doi:10.1109/tmm.2013.2264929
fatcat:2sgemwmdrjhpxfsaqh2zjl3ehm
Quality of Experience-Centric Management of Adaptive Video Streaming Services
2018
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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In HAS, the video client is equipped with a heuristic that dynamically decides the most suitable quality to stream the content, based on information such as the perceived network bandwidth or the video ...
In this paper, a survey is presented of research works on this topic together with a classification based on where the optimization takes place. ...
Second, how to predict where a user is going to watch in the near future? When moving, the user can reach regions of the video at lower qualities. ...
doi:10.1145/3165266
fatcat:m3ndxb2a4bazlkdsv7sdktjz7i
Practical Online Near-Duplicate Subsequence Detection for Continuous Video Streams
2010
IEEE transactions on multimedia
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Index Terms-Continuous detection, near-duplicate subsequence, online detection, subsequence match, video stream. ...
Online video content is surging to an unprecedented level. Massive video publishing and sharing impose heavy demands on online near-duplicate detection for many novel video applications. ...
Especially in [10] , a detailed analysis and human-centric understanding on near-duplicate videos have bee provided. ...
doi:10.1109/tmm.2010.2050737
fatcat:3hdht63zabcpdovd3r45xj7ihy
Management of scalable video streaming in information centric networking
2016
Multimedia tools and applications
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Our proposed cache decision policy ensures to cache the base layer of a scalable video near to the users, which is mandatory layer for decoding any SVC encoded video and is needed by all the users with ...
The proposed scheme provides video faster to the users, specially the mandatory base layer is provided very quickly to the users. ...
Selection of the RTT range is dependent on the layer of the requested video. BL is cached in routers near to the user while the ELs are cached up in the hierarchy. ...
doi:10.1007/s11042-016-4008-8
fatcat:g3zejerxajgebgvwkgwimzb4mq
Efficient Mining of Multiple Partial Near-Duplicate Alignments by Temporal Network
2010
IEEE transactions on circuits and systems for video technology (Print)
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This paper considers the mining and localization of near-duplicate segments at arbitrary positions of partial nearduplicate videos in a corpus. ...
We demonstrate the proposed work for mining partial alignments from two months of broadcast videos and across six TV sources. ...
In a recent study, [3] further refined the definition of near-duplicate videos through a user-centric survey and concluded that similar clips differing in overlaid or added visual content should not ...
doi:10.1109/tcsvt.2010.2077531
fatcat:2kvw2qdrbjfxpbbuhm4vvs2igy
Content-based video copy detection
2009
Proceedings of the seventeen ACM international conference on Multimedia - MM '09
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The second part details our approach for CBVCD, following the tasks of the detection process, namely: video preprocessing, video segmentation, feature extraction, similarity search, and copy localization ...
In particular, Content-Based Video Copy Detection (CBVCD) addresses the need to retrieve videos in a collection that are copies of some original document. ...
Definition 8 (User-Centric Duplicate) v is a user-centric duplicate of u if v is semantically identical to u, i.e., v provides the same information to the user as u. ...
doi:10.1145/1631272.1631539
dblp:conf/mm/Barrios09
fatcat:kpjhi2p3orcsrfi444ewana33i
Greening of IP-based video distribution networks: Developments and challenges
2014
2014 10th International Conference on Communications (COMM)
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The creation and the distribution of video content is a multistage process that refers to the aquisition of video source, content production and packaging, and distribution to customers. ...
It is considered to be a very high quality research and the topic is considered to be very relevant to our future from ecological and economical view. ...
A good practice is to first have a close look at the whole chain for video distribution and to understand where the bottlenecks happen. ...
doi:10.1109/iccomm.2014.6866657
fatcat:57skl642mzcoxhpwt56qg5dlbu
Video Extrapolation in Space and Time
[article]
2022
arXiv
pre-print
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Novel view synthesis (NVS) and video prediction (VP) are typically considered disjoint tasks in computer vision. ...
Inspired by these observations, we propose to study the problem of Video Extrapolation in Space and Time (VEST). ...
FVS [38] predicts the next frame in a video sequence by decomposing frames in a video into object-centric layers and modeling the dynamics of each layer. ...
arXiv:2205.02084v2
fatcat:cunyunwudrcnpmocgwvmh3lcga
Popularity-based Video Caching Techniques for Cache-enabled Networks: A survey
2019
IEEE Access
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However, given the dynamic nature of user behavior, the integration of popularity prediction into caching is of paramount importance to better network utilization and user satisfaction. ...
INDEX TERMS 5G, cache-enabled networking, popularity prediction, proactive caching, videos popularity. ...
A better approach is to anticipate user movement and use it to improve performance [88] . ...
doi:10.1109/access.2019.2898734
fatcat:cw5d2naxjfhyxf6pzobbyupcri
A distributed beaconless routing protocol for real-time video dissemination in multimedia VANETs
2015
Computer Communications
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DBD uses a backbone-based approach to create and maintain persistent and high quality routes during the video delivery in opportunistic Vehicle to Vehicle (V2V) scenarios. ...
This article introduces an application framework to handle this kind of services and a routing protocol, the DBD (Distributed Beaconless Dissemination), that enhances the dissemination of live video flows ...
of video content related to human visual system as expected for human-centric environments. ...
doi:10.1016/j.comcom.2014.08.009
fatcat:hkw5ad3nufbhpp5pwhft7g7l6i
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