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Multimedia Retrieval Through Unsupervised Hypergraph-Based Manifold Ranking
IEEE Transactions on Image Processing, 2019Accurately ranking images and multimedia objects are of paramount relevance in many retrieval and learning tasks. Manifold learning methods have been investigated for ranking mainly due to their capacity of taking into account the intrinsic global ...
D. Pedronette +3 more
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Information Processing & Management, 1995
Abstract This study develops an integrated conceptual representation scheme for multimedia documents that are viewed to comprise an object-oriented database. It develops the necessary abstractions for the conceptual model and extensions to the RM/T relational model used as the search structure. It then develops a retrieval model in which the database
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Abstract This study develops an integrated conceptual representation scheme for multimedia documents that are viewed to comprise an object-oriented database. It develops the necessary abstractions for the conceptual model and extensions to the RM/T relational model used as the search structure. It then develops a retrieval model in which the database
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Multimedia Information Retrieval
2021Due to increasing globalization and the explosion of media available on the Internet, computer techniques to organize, classify, and find desired media are becoming more and more relevant. One such technique to extract semantic information from multimedia data sources is Multimedia Information Retrieval (MMIR or MIR).
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Multimedia information retrieval
ACM SIGIR Forum, 2007With the rising popularity of rich media services such as Flickr, YouTube, and Jumpcut, new challenges in large scale multimedia information retrieval have emerged that not only rely on meta-data but on content-based information retrieval combined with the collective knowledge of users and geo-referenced meta-data that is captured during the creation ...
Roelof van Zwol +3 more
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Multimedia Information Retrieval
itit, 2009Zusammenfassung Der Umfang, in dem multimediale Daten verfügbar sind, nimmt ständig zu. Dies gilt für das Internet ebenso wie für die Daten auf dem heimischen PC oder auch auf einem PDA. Eine wesentliche Herausforderung stellt dabei die Suche nach Medienobjekten dar.
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Differentially-Private and Trustworthy Online Social Multimedia Big Data Retrieval in Edge Computing
IEEE transactions on multimedia, 2019The explosive growth of multimedia contents (MCs) in today's mobile social networks has pushed edge computing to face severe security and online big data-processing problems. On the one hand, the edge nodes (ENs) should help mobile users find, cache, and
Pan Zhou +3 more
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Multimedia retrieval benchmarks
IEEE Multimedia, 2004Multimedia retrieval systems' development has long been challenged by the lack of standard benchmarks for evaluating and comparing the performance of emerging techniques. However, two recent benchmarking efforts, TREC Video Retrieval Evaluation (TRECVID) and the IAPR TC-12 Benchmark for Visual Information Search, show great promise for letting the ...
J.R. Smith +4 more
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Unsupervised multi-graph cross-modal hashing for large-scale multimedia retrieval
Multimedia tools and applications, 2016With the advance of internet and multimedia technologies, large-scale multi-modal representation techniques such as cross-modal hashing, are increasingly demanded for multimedia retrieval.
Liang Xie, Lei Zhu, Guoqi Chen
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Multimedia Information Retrieval
Proceedings of the ACM Multimedia Asia, 2019My main research interests include product search and visual question answering (VQA), lying in the field of information retrieval (IR), which aims to obtain information system resources relevant to an information need from a collection. Product search focuses on the E-commerce domain and aims to retrieve products which are not only relevant to the ...
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SOR: An optimized semantic ontology retrieval algorithm for heterogeneous multimedia big data
Journal of Computer Science, 2017Semantic information can express the search intentions of users, and this approach has become an important tool in the field of information retrieval.
Kehua Guo +3 more
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