Bayesian video search reranking

US8180766B2 - Bayesian video search reranking - Google Patents

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US8180766B2 - Bayesian video search reranking - Google Patents

US8180766B2 - Bayesian video search reranking - Google Patents

Bayesian Video Search Reranking - Clemson University

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pattern, is called content-based video search reranking, or video search reranking in brief. Video search reranking can be regarded as recovering the “true”ranking list from the initial noisy one by using visual information, i.e., to refine the initial ranking list by incorpo-rating the …

Bayesian Video Search Reranking - Clemson University

Bayesian video search reranking - doi.acm.org

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Content-based video search reranking can be regarded as a process that uses visual content to recover the "true" ranking list from the noisy one generated based on textual information. This paper explicitly formulates this problem in the Bayesian framework, i.e., maximizing the ranking score consistency among visually similar video shots while ...

Bayesian video search reranking - doi.acm.org

BAYESIAN VIDEO SEARCH RERANKING - Microsoft Corporation

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4/1/2010 · A general framework for video search reranking is disclosed which explicitly formulates reranking into a global optimization problem from the Bayesian …

BAYESIAN VIDEO SEARCH RERANKING - Microsoft Corporation

X.-S.: Bayesian video search reranking (2008) - CiteSeerX

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We propose a novel method MultiModal Pseudo Relevance Feedback (MMPRF) for event search in video, which re-quires no search examples from the user. Pseudo Relevance Feedback has shown great potential in retrieval tasks, but previous works are limited to unimodal tasks with only a single ranked list.

X.-S.: Bayesian video search reranking (2008) - CiteSeerX

Bayesian video search reranking - Semantic Scholar

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Content-based video search reranking can be regarded as a process that uses visual content to recover the "true" ranking list from the noisy one generated based on textual information. This paper explicitly formulates this problem in the Bayesian framework, i.e., maximizing the ranking score consistency among visually similar video shots while minimizing the ranking distance, which represents ...

Bayesian video search reranking - Semantic Scholar

Table 2 from Bayesian video search reranking - Semantic ...

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Abstract. Content-based video search reranking can be regarded as a process that uses visual content to recover the "true" ranking list from the noisy one generated based on textual information.

Table 2 from Bayesian video search reranking - Semantic ...

CiteSeerX — Citation Query Video search re-ranking via ...

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Real-time nearduplicate elimination for web video search with content and context by Xiao Wu, Student Member, Chong-wah Ngo, Er G. Hauptmann, Hung-khoon Tan - IEEE. Trans. on Multimedia , 2009

CiteSeerX — Citation Query Video search re-ranking via ...

Correction to “Bayesian Visual Reranking” [Aug 2011 639 ...

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Content-based video search reranking can be regarded as a process that uses visual content to recover the "true" ranking list from the noisy one generated based on textual information.

Correction to “Bayesian Visual Reranking” [Aug 2011 639 ...

CiteSeerX — Citation Query Video search reranking through ...

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Video search reranking through random walk over document-level context graph (2007) by W H Hsu, L S Kennedy, S-F Chang Venue: In ACM Multimedia: Add To MetaCart. Tools. Sorted ... commercial image-search systems often rely on techniques that are largely indistinguishable from text search. Recently, academic studies have demonstrated the ...

CiteSeerX — Citation Query Video search reranking through ...

Bayesian Visual Reranking - IEEE Xplore Document

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Abstract: Visual reranking has been proven effective to refine text-based video and image search results. It utilizes visual information to recover “true” ranking list from the noisy one generated by text-based search, by incorporating both textual and visual information.

Bayesian Visual Reranking - IEEE Xplore Document

An Image Search Reranking Model based on attribute ...

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search reranking is defined as reordering visual documents such as images or video clips based on the initial search results or the auxiliary knowledge to improve the search. 1.

An Image Search Reranking Model based on attribute ...

Visual search reranking via adaptive particle swarm ...

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4 Optimization via adaptive particle swarm optimization, 5 Implementation describes the proposed APSO method and the implementation details, respectively. Experiments are reported in Section 6, followed by the conclusions in Section 7. 2. Related work. There has been a rich vein of research on visual search reranking in recent years.

Visual search reranking via adaptive particle swarm ...

Easy Samples First: Self-paced Reranking for Zero-Example ...

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Easy Samples First: Self-paced Reranking for Zero-Example Multimedia Search Lu Jiang1, Deyu Meng2, Teruko Mitamura1, Alexander G. Hauptmann1 1 School of Computer Science, Carnegie Mellon University 2School of Mathematics and Statistics, Xi'an Jiaotong University

Easy Samples First: Self-paced Reranking for Zero-Example ...

Optimizing multimodal reranking for web image search

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Optimizing Multimodal Reranking for Web Image Search ... L. S. Kennedy, and S.-F. Chang. Video search reranking through random walk over document-level context ... Bayesian video search reranking ...

Optimizing multimodal reranking for web image search

Image Search in Web Using Attribute Assisted Reranking

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Abstract— Image search reranking is an effective approach to refine the text-based image search result. Most existing reranking approaches are based on low-level visual features. In this paper, we propose to exploit semantic attributes for image search reranking. Based on the classifiers for all the

Image Search in Web Using Attribute Assisted Reranking

Xinmei Tian - Google Scholar Citations

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Their combined citations are counted only for the first article. Merged citations. ... Bayesian video search reranking. X Tian, L Yang, J Wang, Y Yang, X Wu, XS Hua. Proceedings of the 16th ACM international conference on Multimedia, 131-140, 2008. 173: 2008: Active reranking for web image search.

Xinmei Tian - Google Scholar Citations

Visual search reranking with RElevant Local Discriminant ...

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Visual search reranking is a promising technique to refine the text-based image search results with visual information. Dimensionality reduction is one of the key preprocessing steps in it to overcome the “curse of dimensionality” brought by the high-dimensional visual features.

Visual search reranking with RElevant Local Discriminant ...

Sparse transfer learning for interactive video search ...

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We're upgrading the ACM DL, and would like your input. Please sign up to review new features, functionality and page designs.

Sparse transfer learning for interactive video search ...

Video search reranking via information bottleneck principle

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Yuan Liu , Tao Mei , Xiuqing Wu , Xian-Sheng Hua, Optimizing video search reranking via minimum incremental information loss, Proceedings of the 1st ACM international conference on Multimedia information retrieval, October 30-31, 2008, Vancouver, British Columbia, Canada

Video search reranking via information bottleneck principle

journal nightingale | Akila Agnes 1569 - Academia.edu

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International Journal of Science and Research (IJSR), India Online ISSN: 2319‐7064 A Survey on Bayesian Visual Reranking Nightingale.D1, Akila Agnes 2 1 Karunya University, School of Computer Science and Technology, Karunya Nagar, Coimbatore, India tech.nightingale@gmail.com 2 Karunya University, School of Computer Science and Technology, Karunya Nagar, Coimbatore, India …

journal nightingale | Akila Agnes 1569 - Academia.edu

A Survey on Bayesian Visual Reranking - ijsr.net

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search datasets and Bayesian visual reranking proved to be effective. Keywords: Visual re ranking, visual consistency, regularizer, ranking distance, Bayesian framework. 1. Introduction The searches that are implemented in recent days are ... fusion for video search is done by by employing not 443.

A Survey on Bayesian Visual Reranking - ijsr.net

Slide 1

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Detect the occurrence of a main event occurring in a video clip, e.g. Birthday Party, Marriage proposal, Repairing an appliance. Content-based search. No textual metadata (title) is available.

Slide 1

Statistical Inference Technique to Predict the Correct ...

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Video shots were returned by the search engine (text based) related to the “Soccer Match” and then the reordering is performed by the text search result by mining visual information using reranking process. Keywords: Video Search Reranking, Bayesian Reranking, Pair-wise, Machine Learning, Clustering. I. INTRODUCTION Most of the currently ...

Statistical Inference Technique to Predict the Correct ...

Multimodal Markov Random Field for Image Reranking Based ...

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Multimodal Markov Random Field for Image Reranking Based on Relevance Feedback. DOI: 10.1155/2013/428746. Ricardo Omar Chávez,Hugo Jair Escalante,Manuel Montes-y-Gómez,Luis Enrique Sucar. Full-Text Cite this paper Add to My Lib.

Multimodal Markov Random Field for Image Reranking Based ...

Image Search by using various Reranking Methods by IRJET ...

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After that, reranking is performed on the graph by propagating the ranking scores through the edges. In these methods, the relationships and associations of all samples are represented by the graph.

Image Search by using various Reranking Methods by IRJET ...

RERANKING IMAGE RETRIVAL USING ATTRIBUTE FEATURES - IJEAST

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In image search reranking, to progress the result in an efficient way for web ... In [7], Tian et al. presented a Bayesian reranking ... image/video search. Thus, attributes are expected to narrow down the semantic gap between low-level visual features and high-level semantic meanings. By using attribute classifiers,

RERANKING IMAGE RETRIVAL USING ATTRIBUTE FEATURES - IJEAST

A Review on Multi-Attribute Assisted Reranking using SVM ...

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an optimization problem, termed as Bayesian visual reranking. The method proposed for multi-attribute retrieval in [5] is to explicitly model the correlations present between ... “Video search reranking via information bottleneck principle,” ...

A Review on Multi-Attribute Assisted Reranking using SVM ...

WO2012047593A3 - Method and apparatus of ordering search ...

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Ordering search results may include obtaining an exposed log file from a log system, computing a Bayesian posterior probability for relevancy between the log file and a search request, computing an expected value of the relevancy between the log file and the search request based on the Bayesian posterior probability, storing the search request and an identifier of the log file as a key and the ...

WO2012047593A3 - Method and apparatus of ordering search ...

Etcw06 by Editor IJAERD - Issuu

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Issuu is a digital publishing platform that makes it simple to publish magazines, catalogs, newspapers, books, and more online. Easily share your publications and get them in front of Issuu’s ...

Etcw06 by Editor IJAERD - Issuu

Linjun Yang - yang.azurewebsites.net

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Image Search," ACM Multimedia 2011. [8] Xinmei Tian , Linjun Yang, Jingdong Wang, Xiuqing Wu, Xian-Sheng Hua, \Bayesian Visual Reranking," IEEE Transactions on Multimedia. [7] Lifeng Shang, Linjun Yang, Fei Wang, Kwok-Ping Chan, Xian-Sheng Hua, \Real-time large scale near-duplicate web video retrieval," ACM Multimedia 2010.

Linjun Yang - yang.azurewebsites.net

Current Web Image Search Ranking - Clemson University

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–We proposed a new scheme, supervised reranking, for web image search. –Supervised reranking achieves both effectiveness and scalability by learning a query-independent model. •Future work –Automatic feature selection for supervised reranking. –Supervised ranking with textual and visual ranking features.

Current Web Image Search Ranking - Clemson University

Linjun Yang's Homepage

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Dong Liu, Xian-Sheng Hua, Linjun Yang, Meng Wang, Hong-Jiang Zhang, "Tag Ranking", WWW '09: Proceeding of the 18th international conference on World Wide Web. 2009. Xinmei Tian, Linjun Yang, Jingdong Wang, Yichen Yang, Xiuqing Wu, Xian-Sheng Hua, "Bayesian Video Search Reranking," ACM Multimedia 2008.

Linjun Yang's Homepage

Improving Web Image Search using Reranking

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Improving Web Image Search using Reranking Prof. C. M. Jadhav, Ms. Swati R. Murumkar Computer Science &Engg. Dept, Bharat RatnaIndira Gandhi College of Engineering, ... Recentlyvarious image/video reranking methods have been proposed to exploit the usage of the visualinformation for ... Bayesian reranking can only achieve limited ...

Improving Web Image Search using Reranking

Supervised re-ranking for visual search - Microsoft ...

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9/24/2013 · In one example, supervised re-ranking for visual search may include receiving a textual query, obtaining an initial ranking result including a plurality of images corresponding to the textual query, and representing the textual query by a visual context of the plurality of images.

Supervised re-ranking for visual search - Microsoft ...

RE-RANKING ALGORITHM FOR MULTIMEDIA RETRIEVAL VIA ...

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The performance of ranking the retrieval results based on context and/or content information is usually limited because it depends heavily on the quality of the extracted information. Therefore, re-ranking approaches have been developed to improve the retrieval performance, but how to re-rank the retrieval results remains a challenge. In this paper, the inclusive and exclusive relationships ...

RE-RANKING ALGORITHM FOR MULTIMEDIA RETRIEVAL VIA ...

Active reranking for web image search - SlideShare

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9/29/2011 · Active reranking for web image search 1. IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 19, NO. 3, MARCH 2010 805 Active Reranking for Web Image Search Xinmei Tian, Dacheng Tao, Member, IEEE, Xian-Sheng Hua, Member, IEEE, and Xiuqing Wu Abstract—Image search reranking methods usually fail to cap- “panda” existing in its surrounding text.

Active reranking for web image search - SlideShare

Volume-5 Issue-6 | International Journal of Engineering ...

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International Journal of Engineering and Advanced Technology (IJEAT) covers topics in the field of Computer Science & Engineering, Information Technology, Electronics & Communication, Electrical and Electronics, Electronics and Telecommunication, Civil Engineering, Mechanical Engineering, Textile Engineering and all interdisciplinary streams of Engineering Sciences.

Volume-5 Issue-6 | International Journal of Engineering ...

A Design of User Profile Based Image Re-Ranking Approach ...

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Most of the image search engines nowadays use mainly text-based information. Since surrounding text is not always accurate, the returned images are often noisy and disorganized. Proposed work re-ranks current web search engine results according to user profile information.

A Design of User Profile Based Image Re-Ranking Approach ...

ISSN: 2454-1362, http://www.onlinejournal.in Web Image ...

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Web Image Reranking Using Query Semantic Signature and Duplicate Detection . Mr. Wavhal Rameshwar Ganpat1 &Prof. B. S. Chunchure2. 1Student, ... the images.The user can search images online and offline.User can search the images on Google and Bing search engine.User can …

ISSN: 2454-1362, http://www.onlinejournal.in Web Image ...

An attribute assisted reranking model for web image search

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1/11/2016 · An attribute assisted reranking model for web image search 1. IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 24, NO. 1, JANUARY 2015 261 An Attribute-Assisted Reranking Model for Web Image Search Junjie Cai, Zheng-Jun Zha, Member, IEEE, Meng Wang, Shiliang Zhang, and Qi Tian, Senior Member, IEEE Abstract—Image search reranking is an effective approach to refine the …

An attribute assisted reranking model for web image search
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