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Semantics Supervised Cluster-Based Index for Video Databases
[chapter]
2006
Lecture Notes in Computer Science
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In this paper, we modeled the relationship between semantic classes and visual feature distributions of data set with the Gaussian mixture model (GMM), and proposed a semantics supervised cluster based ...
High-dimensional index is one of the most challenging tasks for content-based video retrieval (CBVR). ...
We model the relationship between semantic classes and visual feature distributions of the video data set with the Gaussian mixture model (GMM). ...
doi:10.1007/11788034_46
fatcat:s4bibvef6vgs5lys2ycib2x4aq
MPEG-7 based description schemes for multi-level video content classification
2004
Image and Vision Computing
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In this paper, we propose a high level multimedia representation and description scheme based on multi-level video modeling and semantic video classification. ...
MPEG-7 has emerged as the standard for multimedia data content description for efficiently describing multimedia content. ...
Jianping Fan and PhD student Evimaria Terzi for their collaboration and contribution on the paper's initial draft. ...
doi:10.1016/s0262-8856(03)00098-2
fatcat:cclomarbbrcz3lxbev3lm63bze
An Integrated and Interactive Video Retrieval Framework with Hierarchical Learning Models and Semantic Clustering Strategy
2006
2006 IEEE International Conference on Information Reuse & Integration
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The video data are modeled by a hierarchical learning mechanism called HMMM (Hierarchical Markov Model Mediator) and indexed by an innovative semantic video database clustering strategy. ...
Correspondingly, both the high level semantics and user perceptions are employed in the video clustering strategy. ...
HMMM models the video database; while the clustering strategy groups video data with similar characteristics into clusters that exhibit certain high level semantics. ...
doi:10.1109/iri.2006.252454
dblp:conf/iri/ZhaoCSR06
fatcat:nbauqarf3rej5l6e5naybualrq
Semantic Web for Content Based Video Retrieval
2009
2009 IEEE International Conference on Semantic Computing
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This paper aims to provide a semantic web based video search engine. ...
Also, we suggest a new ranking algorithm for finding related resources which could be used in a semantic web based search engine. ...
In this paper we introduce a semantic web based framework for content based video retrieval. Semantic web is currently used for indexing of textual data [13] . ...
doi:10.1109/icsc.2009.49
dblp:conf/semco/SebastineTP09
fatcat:rbbbzpinifhxrh3r7wlqx22qt4
MultiView: Multilevel video content representation and retrieval
2001
Journal of Electronic Imaging (JEI)
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Second, several model-based video analysis techniques are proposed. ...
A seeded region aggregation and temporal tracking technique is proposed for generating the semantic video objects. ...
Since it is difficult to index and categorize video data automatically compared with similar operations on text, search engines for video data are still rare. ...
doi:10.1117/1.1406944
fatcat:ngtiwnmuqfak7gq5u2ff6s6oki
A study on video data mining
2012
International Journal of Multimedia Information Retrieval
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Video is an example of multimedia data as it contains several kinds of data such as text, image, meta-data, visual and audio. ...
The objective of video data mining is to discover and describe interesting patterns from the huge amount of video data as it is one of the core problem areas of the data-mining research community. ...
It is based on the idea of video segmentation or video annotation. Video data mining requires a good data model for video representation. Various models have been proposed by different authors. ...
doi:10.1007/s13735-012-0016-2
fatcat:xuuf3w3b2rfcxlyevzndz6v62e
Video Indexing and Retrieval based on Key Frame Extraction
2018
International Journal of Performability Engineering
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This paper presents a key frame based method that employs shot boundary detection and "bag-ofvisual-words (BoW)" based on local keypoints for key frame extraction and semantic concept detection. ...
Finally, this paper performs a query by concept search for video retrieval. The experimental results demonstrate that the proposed approach is capable of retrieving videos. ...
[15] present a data cube model for high dimension indexing and searching of monitoring videos. This approach offers a high dimension process for target objects of videos. ...
doi:10.23940/ijpe.18.08.p19.18241832
fatcat:cj55t6urknas3hwmg2qhpqac4y
Semantic Link Network-Based Model for Organizing Multimedia Big Data
2014
IEEE Transactions on Emerging Topics in Computing
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In this paper, the semantic link network model is used for organizing multimedia resources. ...
A whole model for generating the association relation between multimedia resources using semantic link network model is proposed. ...
Thus a system that can filter images based on their content would provide better indexing and return more accurate results. The proposed SLN based model can be used for video searching. ...
doi:10.1109/tetc.2014.2316525
fatcat:yvwaqkpdtve2fb5japuip2tlp4
Automatic semantic annotation of images based on Web data
2010
2010 Sixth International Conference on Information Assurance and Security
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Web data, collected from several image search engine, are first preprocessed, clustered and mined to construct a concept clustering model. ...
Therefore, Web data is a potential repository to provide a sufficient source for semantic annotation. ...
RELATED WORK In this paper, we proposed to apply the graph-theoretic clustering to Web data for denoising, clustering and constructing semantic concept model. ...
doi:10.1109/isias.2010.5604186
dblp:conf/IEEEias/DingX10
fatcat:r5bvcrof3zfpbe42hlzvxzyqm4
Semantic Labeling of Multimedia Content Clusters
2006
2006 IEEE International Conference on Multimedia and Expo
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One of the challenges of these multimedia retrieval systems is to organize the video data in such a way that allows the user to most efficiently navigate the semantic space for the video data set. ...
One important tool for video data organization is clustering. However, clustering results cannot be leveraged effectively when they are not labeled. ...
Modeling semantics, even the most general semantic concepts, requires investment in creating sufficient amounts of annotated video data for training the models. This is often a costly proposition. ...
doi:10.1109/icme.2006.262825
dblp:conf/icmcs/TesicS06
fatcat:7pca5cciz5gmtkkuyjqszoqvwu
ClassView : Hierarchical Video Shot Classification, Indexing, and Accessing
2004
IEEE transactions on multimedia
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Integrating video access with efficient database indexing tree structure has provided great opportunity for supporting more powerful video search engines. ...
However, the existing content-based video retrieval systems still suffer from the following problems. 1 ) Semantics-sensitive video classification problem because of the semantic gap between low-level ...
ACKNOWLEDGMENT The authors thank the reviewers for their useful comments and suggestions to make this paper more readable. They also ...
doi:10.1109/tmm.2003.819583
fatcat:4m3bqkdn7rfpnfifit7ieoihvi
Recent Advances and Challenges of Semantic Image/Video Search
2007
2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07
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Index Terms -semantic indexing, image and video search, content labeling, statistical modeling ...
We present an overview of recent advances and major challenges in image and video search, with a specific focus on large-scale semantic concept detection and indexing. ...
SEMANTIC CONCEPT CLASSIFICATION The massive visual data and associated annotations have facilitated development of novel techniques for indexing images and videos at the semantic level. ...
doi:10.1109/icassp.2007.367292
dblp:conf/icassp/ChangMS07
fatcat:wgnw233c4ndbtc5zrvrb4g5wqe
Multiple Video Instance Detection and Retrieval using Spatio-Temporal Analysis using Semi Supervised SVM Algorithm
2017
International Journal of Computer Applications
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During this work, we tend to explore the utilization of spatio-temporal cues to enhance the standard of object instance search from videos. ...
The work tends to solve the key bottleneck in applying the approach to object instance search by leverage a randomized approach to change quick marking of any bounding boxes within the video volume. ...
Present a spatio-temporal data model for video data. ...
doi:10.5120/ijca2017913495
fatcat:ozzueddgjnbcfhhmp3stikmpjq
Development of a web-based video management and application processing system
2001
Internet Multimedia Management Systems II
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Keywords: video management and processing, query-based retrieval, content-based search, hybrid retrieval, web-based architecture. ...
How to facilitate efficient video manipulation and access in a web-based environment is becoming a popular trend for video applications. ...
Jiang and Elmagarmid [24] presented a video database system called WVTDB which supports semantic modeling and content-based search on the world wide web (WWW). Lee et. al. ...
doi:10.1117/12.434265
fatcat:zaajh2n76vcbpcb2gznkz22mte
Personalized retrieval of sports video based on multi-modal analysis and user preference acquisition
2009
Multimedia tools and applications
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For semantic annotation, web-casting texts which are corresponding to sports videos are firstly captured from the webpages using data region segmentation and labeling. ...
Based on the annotation, these video clips can be retrieved from different semantic attributes according to the user preference. ...
Multiple choices for users
Model choice Since we have obtained two models for preference acquisition: semantic based model and visual feature based model, users can choose any of them according to their ...
doi:10.1007/s11042-009-0291-y
fatcat:liofq7fwdvh5vge4bl7o6stuqq
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