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Clip-based similarity measure for query-dependent clip retrieval and video summarization
2006
IEEE transactions on circuits and systems for video technology (Print)
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We apply the similarity measure for two tasks: retrieval and summarization. In video retrieval, a hierarchical retrieval framework is constructed based on MM and OM. ...
Index Terms-Clip similarity, query-based segmentation, hierarchical video retrieval, summarization. ...
Clip-Based Similarity Measure for Query-Dependent Clip Retrieval and Video Summarization Yuxin Peng and Chong-Wah Ngo, Member, IEEE Abstract-This paper proposes a new approach and algorithm for the similarity ...
doi:10.1109/tcsvt.2006.873157
fatcat:gd5nt44javeozaj2ql47fdo2qi
Clip-based similarity measure for hierarchical video retrieval
2004
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval - MIR '04
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This paper proposes a new approach and algorithm for the similarity measure of video clips. ...
To allow the matching between a query and a long video, an online clip segmentation algorithm is also proposed to rapidly locate candidate clips for similarity measure. ...
These values can also be set based on user preference.
VIDEO RETRIEVAL The retrieval of video clip can be conducted by the similarity measure based on OM, DP and IF. ...
doi:10.1145/1026711.1026721
dblp:conf/mir/PengN04
fatcat:5usbjm7rsjcn5kpabdxbiczbhi
Hot Event Detection and Summarization by Graph Modeling and Matching
[chapter]
2005
Lecture Notes in Computer Science
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This paper proposes a new approach for hot event detection and summarization of news videos. The approach is mainly based on two graph algorithms: optimal matching (OM) and normalized cut (NC). ...
Initially, OM is employed to measure the visual similarity between all pairs of events under the one-to-one mapping constraint among video shots. ...
Acknowledgements The work described in this paper was fully supported by two grants from City University of Hong Kong (Project No. 7001470 and Project No. 7001546). ...
doi:10.1007/11526346_29
fatcat:rp7bbzirmvctxag3qnjg4rn4tq
Challenges and techniques for effective and efficient similarity search in large video databases
2008
Proceedings of the VLDB Endowment
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We briefly introduce some novel techniques developed for two specific tasks studied in this PhD project: video retrieval in a large collection of segmented video clips, and video subsequence identification ...
The proposed methods for processing these two types of similarity queries have shown encouraging performance and are being incorporated into our prototype system of video search named UQLIPS, which has ...
For more robust search the enormous amount of and extremely diverse video content on the Web, we address this problem by modelling distribution-based similarity measure for video clip retrieval. ...
doi:10.14778/1454159.1454232
fatcat:yim6vfqszbh6tavpxuagrvhbnu
EMD-Based Video Clip Retrieval by Many-to-Many Matching
[chapter]
2005
Lecture Notes in Computer Science
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In the first stage, to allow the matching between a query and a long video, an online clip segmentation algorithm is employed to rapidly locate candidate clips for similarity measure. ...
This paper presents a new approach for video clip retrieval based on Earth Mover's Distance (EMD). ...
In addition, we thank Yossi Rubner for his EMD code. ...
doi:10.1007/11526346_11
fatcat:hd6xamhqvzc6zcriud66pzirri
MUVIS: a content-based multimedia indexing and retrieval framework
2003
Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.
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In the first phase a Web-based application has been developed in late 90s to support indexing and retrieval in large image databases using visual and semantic features such as color, texture and shape. ...
This new system provides tools for real-time audio and video capturing, encoding by last generation codecs such as MPEG-4, H.263+, MP3 and AAC. ...
For instance, the similarity measurement for the audio frames of the queried clip in speech type will only be performed with the audio frames of the database clips having speech type and NotClassified ...
doi:10.1109/isspa.2003.1224626
dblp:conf/isspa/KiranyazCGGG03
fatcat:eiq42wuqlfdzfd7lxxaiuk7qhe
Query by video clip
1999
Multimedia Systems
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For each key frame in the query, a similarity value (using color, texture, and motion) is obtained with respect to the key frames in the database video. ...
(ii) In retrieval using sub-sampled frames, we uniformly sub-sample the query clip as well as the database video. Retrieval is based on matching color and texture features of the subsampled frames. ...
HongJiang Zhang, HP Labs, Palo Alto, and Dr. Bilge Gunsel, LG ERCA, Princeton, for providing us with the CNN and basketball videos, respectively. In addition, we acknowledge Dr. ...
doi:10.1007/s005300050139
fatcat:bhlveqf4czen3gnma2nbpkf7nm
3D human motion analysis framework for shape similarity and retrieval
2014
Image and Vision Computing
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Section 6 describes video clustering and summarization for motion 72 understanding. ...
67 in the area of static and temporal shape similarity and video retrieval. ...
Finally, 536 we evaluate our clustering and summarization approach for pose/clip-based 537 video retrieval.538 7.1. ...
doi:10.1016/j.imavis.2013.12.011
fatcat:me7fyzzbbna2pdbjf5l732tdli
Audio similarity measure by graph modeling and matching
2006
Proceedings of the 14th annual ACM international conference on Multimedia - MULTIMEDIA '06
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This paper proposes a new approach for the similarity measure and ranking of audio clips by graph modeling and matching. ...
Instead of using frame-based or salient-based features to measure the acoustical similarity of audio clips, segment-based similarity is proposed. ...
similarity measure of video clips [7] . ...
doi:10.1145/1180639.1180763
dblp:conf/mm/PengNFCX06
fatcat:pk2mus5ig5anhor5jdyqbjfw44
Discovery of Shared Semantic Spaces for Multiscene Video Query and Summarization
2017
IEEE transactions on circuits and systems for video technology (Print)
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The growing rate of public space CCTV installations has generated a need for automated methods for exploiting video surveillance data including scene understanding, query, behaviour annotation and summarization ...
with reduced supervised labelling requirements, and video summarization. ...
Citation information: DOI 10.1109/TCSVT.2016.2532719, IEEE Transactions on Circuits and Systems for Video Technology ...
doi:10.1109/tcsvt.2016.2532719
fatcat:qkzxhvsbzjd5jbt2uoxgrwv2rm
Generating Adjacency Matrix for Video Relocalization
[article]
2022
arXiv
pre-print
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Based on using graph convolution to extract intra-video and inter-video frame features, we improve the method by using similarity-metric based graph convolution, whose weighted adjacency matrix is achieved ...
In this paper, we continue our work on video relocalization task. ...
Later on, image query based video retrieval methods and video query based video retrieval methods are proposed for furtherly enriching the expressive power of query modality, which use an image and a video ...
arXiv:2008.08977v2
fatcat:pmjo4vvhlja3jhpokayxu5fk5e
Bounded coordinate system indexing for real-time video clip search
2009
ACM Transactions on Information Systems
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The similarity measure of BCS considers the operations of translation, rotation and scaling for coordinate system matching. ...
Recently, video clips have become very popular online. Massive influx of video clips has created an urgent need for video search engines to facilitate retrieving relevant clips. ...
The four different program genres and the average number of shots for the query video clips are summarized in Table II . ...
doi:10.1145/1508850.1508855
fatcat:osbfga72yvd4jnspymgk3vqs6e
A Hierarchical Multi-Modal Encoder for Moment Localization in Video Corpus
[article]
2020
arXiv
pre-print
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scales based on multiple subtasks, namely, video retrieval, segment temporal localization, and masked language modeling. ...
Identifying a short segment in a long video that semantically matches a text query is a challenging task that has important application potentials in language-based video search, browsing, and navigation ...
Modeling Video Retrieval We use the contextualized clips to compute the video-query compatibility score for a query h and its corresponding video v. ...
arXiv:2011.09046v2
fatcat:xumwor3zgzferkj6kgcqsnreqy
A spatio-temporal pyramid matching for video retrieval
2013
Computer Vision and Image Understanding
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In this paper, we introduce a contentbased video matching system that finds the most relevant video segments from video database for a given query video clip. ...
An efficient video retrieval system is essential to find relevant video contents from a large set of video clips, which typically contain several heterogeneous video clips to match with. ...
The measured similarity is used for the rank of video matching. A higher rank of a query and a video clip in the database indicates more similarity. ...
doi:10.1016/j.cviu.2013.02.003
fatcat:jkne4yptvbbtpegdbgek7u3q4u
Self-supervised Video Retrieval Transformer Network
[article]
2021
arXiv
pre-print
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Content-based video retrieval aims to find videos from a large video database that are similar to or even near-duplicate of a given query video. ...
In addition, most retrieval systems are based on frame-level features for video similarity searching, making it expensive both storage wise and search wise. ...
Video-level Retrieval Methods Video-level retrieval methods encode the videos in video-level, and search for the k-nearest neighbors for the video-level feature of the query video in the embedding space ...
arXiv:2104.07993v1
fatcat:5lpvrgxrkvci7ntaruzhtlxqau
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