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Latent semantic analysis for an effective region-based video shot retrieval system

Fabrice Souvannavong, Bernard Merialdo, Beno�t Huet
2004 Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval - MIR '04  
In the experimental section, we make an evaluation of latent semantic analysis and proposed approaches on two problems, namely object retrieval and semantic content estimation.  ...  We present a complete and efficient framework for video shot indexing and retrieval. Video shots are described by their key-frame, themselves described by their regions.  ...  LATENT SEMANTIC INDEXING Latent Semantic Analysis (LSA) has been proven efficient for text document analysis and indexing.  ... 
doi:10.1145/1026711.1026751 dblp:conf/mir/SouvannavongMH04 fatcat:g2v73ev2u5bf5j3arjjzzxbh2u

Improved Video Content Indexing by Multiple Latent Semantic Analysis [chapter]

Fabrice Souvannavong, Bernard Merialdo, Benoît Huet
2004 Lecture Notes in Computer Science  
We have successfully proposed an adaptation of LSA to model video content for object retrieval and semantic content estimation.  ...  Low-level features are now becoming insufficient to build efficient content-based retrieval systems.  ...  Based on our previous work on Latent Semantic Analysis (LSA) for object retrieval in [3] and semantic content estimation in [4] , we present a new model that uses Multiple Latent Semantic Analysis.  ... 
doi:10.1007/978-3-540-27814-6_57 fatcat:5ssdognfd5ekbi3ehnppvicluu

Structurally enhanced latent semantic analysis for video object retrieval

F. Souvannavong, L. Hohl, B. Merialdo, B. Huet
2005 IEE Proceedings - Vision Image and Signal Processing  
The proposed method for finding associations between segmented frame region characteristics relies on the strength of Latent Semantic Analysis (LSA).  ...  The work presented in this paper aims at reducing the semantic gap between low level video features and semantic video contents.  ...  Whereas most of these approaches focus on frame or shot retrieval, we propose a framework for effective retrieval of semantic video objects.  ... 
doi:10.1049/ip-vis:20045184 fatcat:iitznolo3re6ve65t6ndrh6lqu

Interactive Video Search Using Multilevel Indexing [chapter]

John Adcock, Matthew Cooper, Andreas Girgensohn, Lynn Wilcox
2005 Lecture Notes in Computer Science  
Text transcripts do not always provide an accurate index to the visual content, and the performance of visually based semantic extraction techniques is often inadequate for search tasks.  ...  We describe a video search system that facilitates this user task by efficiently presenting search results in semantically meaningful units to simplify exploration of query results and query reformulation  ...  Nevertheless, the opportunistic use of ever-improving content analysis within inspired user interfaces holds a great deal of potential for creating powerful access to a wide variety of video media.  ... 
doi:10.1007/11526346_24 fatcat:gdbp2qtg3vgolcxcfl3j52gbxu

PEGASUS: an information mining system for TV news videos

Jingen Liu, Yun Zhai, Mubarak Shah, Kevin L. Priddy, Emre Ertin
2006 Intelligent Computing: Theory and Applications IV  
PEGASUS is an integrated news video search system containing two utilities: a fast multi-modality indexing system, and an interactive framework for the search on semantic topics.  ...  Content -based video retrieval (CBVR ) problems have gained significant importance in today's intelligence world demanding further insight.  ...  Latent Semantic Analysis(LSA) and Probabilistic Latent Semantic Analysis (PLSA) 17 can discover the covariance between the keywords and video shots.  ... 
doi:10.1117/12.664318 fatcat:xjfotoiifrb3jjhgvembwbs3ce

Content Based Video Retrieval Systems

B V Patel
2012 International Journal of UbiComp  
With the development of multimedia data types and available bandwidth there is huge demand of video retrieval systems, as users shift from text based retrieval systems to content based retrieval systems  ...  Selection of extracted features play an important role in content based video retrieval regardless of video attributes being under consideration.  ...  Video Segmentation The first step for video-content analysis, content based video browsing and retrieval is the partitioning of a video sequence into shots.  ... 
doi:10.5121/iju.2012.3202 fatcat:rrtofvbjfbakhacn565qre5enq

A Synergistic Approach to Efficient Interactive Video Retrieval [chapter]

Andreas Girgensohn, John Adcock, Matthew Cooper, Lynn Wilcox
2005 Lecture Notes in Computer Science  
Based on this premise, we created a video search system with a powerful and flexible user interface that incorporates dynamic visualizations of the underlying multimedia objects.  ...  Typically, it is not sufficient to search just for relevant videos, because the task still remains to find the relevant clip, typically less than one minute of length, within the video.  ...  Back-End Search System We pre-process videos to segment them into stories with a text-based latent semantic analysis (LSA) of the text transcripts [1] .  ... 
doi:10.1007/11555261_62 fatcat:5gib4erlqjenrfra6vc76hhc4a

Personalized retrieval of sports video

Yifan Zhang, Xiaoyu Zhang, Changsheng Xu, Hanqing Lu
2007 Proceedings of the international workshop on Workshop on multimedia information retrieval - MIR '07  
There has been a growing demand for effective access to video information from media archives in recent years.  ...  For semantic annotation, a multi-modal framework is employed to detect sports event and index the sports video content.  ...  Hence, we employ Latent Semantic Analysis (LSA) [23] to cluster the texts and extract keywords in an unsupervised fashion.  ... 
doi:10.1145/1290082.1290126 dblp:conf/mir/ZhangZXL07 fatcat:evoshhficng6tn5vymnhijaab4

Topic models for semantics-preserving video compression

Jörn Wanke, Adrian Ulges, Christoph H. Lampert, Thomas M. Breuel
2010 Proceedings of the international conference on Multimedia information retrieval - MIR '10  
Most state-of-the-art systems for content-based video understanding tasks require video content to be represented as collections of many low-level descriptors, e.g. as histograms of the color, texture  ...  or motion in local image regions.  ...  Bridging this gap has been the concern of content-based video retrieval (CBVR) systems [11] , which have been demonstrated to be effective in a variety of application scenarios: automatic concept detectors  ... 
doi:10.1145/1743384.1743433 dblp:conf/mir/WankeULB10 fatcat:tsnbjcjlqfatzlh6jzjfzsjpea

Analysis and Detection of Content based Video Retrieval

Shivanand S Gornale, Ashvini K Babaleshwar, K Babaleshwar
2019 International Journal of Image Graphics and Signal Processing  
The demand for extraction of high level semantics contents as well as handling of low level contents in video retrieval systems are still in need.  ...  Content Based Video Retrieval (CBVR) System has been investigated over past decade it's rooted in many applications like developments and technologies.  ...  [64] present an approach for retrieving video based on semantic word similarity and visual content of video.  ... 
doi:10.5815/ijigsp.2019.03.06 fatcat:mzlxdk3omjh2vflv66n4agprwu

TRECVID 2008 Participation by MCG-ICT-CAS

Sheng Tang, Jin-Tao Li, Ming Li, Cheng Xie, Yizhi Liu, Kun Tao, Shao-Xi Xu
2008 TREC Video Retrieval Evaluation  
(PRF) into our concept detection system for the purpose of making re-trained models more adaptive to the test data: unlike existing PRF techniques in text and video retrieval, we propose a preliminary  ...  , and Color Moments. (2) To improve the training efficiency and explore the knowledge between concepts or hidden sub-domains more easily and efficiently, we propose a novel method based on Latent Dirichlet  ...  Experiments and Result Analysis We submitted a total of 3 runs. The difference of them lies in the fusion methods. The result of our best run (hierarchical method _ICTCBCDREL ) is shown as Fig 5 .  ... 
dblp:conf/trecvid/TangLLXLTX08 fatcat:zyte7hmavzhivowbsz7pp22ulm

K-Space at TRECVid 2008

Peter Wilkins, Daragh Byrne, Gareth J. F. Jones, Hyowon Lee, Gordon Keenan, Kevin McGuinness, Noel E. O'Connor, Neil O'Hare, Alan F. Smeaton, Tomasz Adamek, Raphaël Troncy, Alia Amin (+28 others)
2008 TREC Video Retrieval Evaluation  
For 2008 the K-Space group performed one of the largest interactive video information retrieval experiments conducted in a laboratory setting.  ...  In this paper we will present an overview of the search system utilized, the experimental setup and a preliminary analysis of our results.  ...  Interface DCU-1, Shot based The 'shot based' system presented to the user the ranked list of shots direct from the retrieval engine.  ... 
dblp:conf/trecvid/WilkinsBJLKMOOSATABDHMTSAPMKMSBCIGHSCSPHHHVPGJ08 fatcat:syqvmal6nve2llk4socokhdthu

Personalized retrieval of sports video based on multi-modal analysis and user preference acquisition

Yi-Fan Zhang, Changsheng Xu, Xiaoyu Zhang, Hanqing Lu
2009 Multimedia tools and applications  
Based on the annotation, these video clips can be retrieved from different semantic attributes according to the user preference.  ...  For semantic annotation, web-casting texts which are corresponding to sports videos are firstly captured from the webpages using data region segmentation and labeling.  ...  For records clustering, the Latent Semantic Analysis (LSA) is utilized. LSA is a technique in the field of text indexing and retrieval.  ... 
doi:10.1007/s11042-009-0291-y fatcat:liofq7fwdvh5vge4bl7o6stuqq

Performance Analysis of Multiple Classifier Fusion for Semantic Video Content Indexing and Retrieval [chapter]

Rachid Benmokhtar, Benoit Huet
2006 Lecture Notes in Computer Science  
In this paper we compare a number of classifier fusion approaches within a complete and efficient framework for video shot indexing and retrieval 1 .  ...  The aim of the fusion stage of our sytem is to detect the semantic content of video shots based on classifiers output obtained from low level features.  ...  Image latent semantic analysis (ILSA) is applied on these features to obtain an efficient and compact representation of video shot content.  ... 
doi:10.1007/978-3-540-69423-6_50 fatcat:hqgb3st4ufhqfljx57craeah4i

TV ad video categorization with probabilistic latent concept learning

Jinqiao Wang, Lingyu Duan, Lei Xu, Hanqing Lu, Jesse S. Jin
2007 Proceedings of the international workshop on Workshop on multimedia information retrieval - MIR '07  
A bag-of-words representation is proposed to discover ad categories-related latent visual and textual concepts by probabilistic latent semantics analysis (PLSA).  ...  The digested ads can be considered the video-based alert for emerging products/services. Thus the reachability and focus of TV ads can be improved.  ...  RELATED WORK 2.1 Ad Video Analysis Content-based ad video analysis work may include ad detection, retrieval, and categorization.  ... 
doi:10.1145/1290082.1290113 dblp:conf/mir/WangDXLJ07 fatcat:zls6oxtxybczxcehr5paz6yvmi
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