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Flexible Multi-modal Hashing for Scalable Multimedia Retrieval
ACM Transactions on Intelligent Systems and Technology, 2020Multi-modal hashing methods could support efficient multimedia retrieval by combining multi-modal features for binary hash learning at the both offline training and online query stages.
Lei Zhu +4 more
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Robust Unsupervised Cross-modal Hashing for Multimedia Retrieval
ACM Trans. Inf. Syst., 2020With the quick development of social websites, there are more opportunities to have different media types (such as text, image, video, etc.) describing the same topic from large-scale heterogeneous data sources.
Miaomiao Cheng, L. Jing, M. Ng
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Semantic-Driven Interpretable Deep Multi-Modal Hashing for Large-Scale Multimedia Retrieval
IEEE transactions on multimedia, 2020Multi-modal hashing focuses on fusing different modalities and exploring the complementarity of heterogeneous multi-modal data for compact hash learning.
Xu Lu +4 more
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Flexible Online Multi-modal Hashing for Large-scale Multimedia Retrieval
ACM Multimedia, 2019Multi-modal hashing fuses multi-modal features at both offline training and online query stage for compact binary hash learning. It has aroused extensive attention in research filed of efficient large-scale multimedia retrieval. However, existing methods
X. Lu +5 more
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Multimedia information retrieval
Proceedings of the 21st ACM international conference on Multimedia, 2013Documents multimedia: representation de ces documents et types de requete. Recherche d'information visuelle (couleurs...).
Markus Schedl +2 more
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Retrieval in multimedia presentations
Multimedia Systems, 2004In this paper we discuss issues concerning the consistent retrieval of parts of multimedia presentations from multimedia repositories. We introduce a class of multimedia presentations made of independent and synchronized media and discuss retrieval requirements of presentation fragments.
A. CELENTANO +2 more
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Personalized multimedia retrieval
Proceedings of the international workshop on Workshop on multimedia information retrieval, 2007The aim of this paper is to present an overview of the current situation in this hot topic of Multimedia Information Retrieval: Personalization. We are considering several aspects of this problem. On one hand, the user will want to have a personalized access to his image/video collections and this can be achieved by providing intuitive and natural ...
Sebe, Niculae, Q. Tian
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Multimedia information retrieval
Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. No.01TH8555), 2002Multimedia information retrieval constitutes a very active multidisciplinary research area. We first attempt to characterize the various works and prominent challenges of the field and subsequently present a retrieval platform that supports progressive searches and query specification, post-coordination of descriptions and semantic modeling in a ...
J.A. Lay, P. Muneesawang, L. Guan
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Probabilistic multimedia retrieval
Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '02, 2002We present a framework in which probabilistic models for textual and visual information retrieval can be integrated seamlessly. The framework facilitates searching for imagery using textual descriptions and visual examples simultaneously. The underlying Language Models for text and Gaussian Mixture Models for images have proven successful in various ...
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Multi-Modal Hashing for Efficient Multimedia Retrieval: A Survey
IEEE Transactions on Knowledge and Data EngineeringWith the explosive growth of multimedia contents, multimedia retrieval is facing unprecedented challenges on both storage cost and retrieval speed. Hashing technique can project the high-dimensional data into compact binary hash codes.
Lei Zhu +5 more
semanticscholar +1 more source