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A model of multimedia information retrieval [PDF]
Journal of the ACM, 2001 Research on multimedia information retrieval (MIR) has recently witnessed a booming interest. A prominent feature of this research trend is its simultaneous but independent materialization within several fields of computer science. The resulting richness of paradigms, methods and systems may, on the long run, result in a fragmentation of efforts and ...
Carlo Meghini +2 more
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Performance Evaluation in Multimedia Retrieval
ACM Transactions on Multimedia Computing, Communications and ApplicationsPerformance evaluation in multimedia retrieval, as in the information retrieval domain at large, relies heavily on retrieval experiments, employing a broad range of techniques and metrics. These can involve human-in-the-loop and machine-only settings for the retrieval process itself and the subsequent verification of results.
Loris Sauter +2 more
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TDCMR: Triplet-Based Deep Cross-Modal Retrieval for Geo-Multimedia Data
Applied Sciences, 2021 Mass multimedia data with geographical information (geo-multimedia) are collected and stored on the Internet due to the wide application of location-based services (LBS).
Jiagang Song +4 more
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AI-Based Semantic Multimedia Indexing and Retrieval for Social Media on Smartphones
Information, 2021 To cope with the growing number of multimedia assets on smartphones and social media, an integrated approach for semantic indexing and retrieval is required.
Stefan Wagenpfeil +3 more
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Advances in Multimedia, 2021 This paper briefly introduces the characteristics of content-based multimedia retrieval under the information background, analyzes the implementation process of these technologies in the multimedia archives retrieval system including video and image ...
Zhongke Wang
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Parallelization Strategies for Graph-Code-Based Similarity Search
Big Data and Cognitive Computing, 2023 The volume of multimedia assets in collections is growing exponentially, and the retrieval of information is becoming more complex. The indexing and retrieval of multimedia content is generally implemented by employing feature graphs.
Patrick Steinert +4 more
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Smart Multimedia Information Retrieval
Analytics, 2023 The area of multimedia information retrieval (MMIR) faces two major challenges: the enormously growing number of multimedia objects (i.e., images, videos, audio, and text files), and the fast increasing level of detail of these objects (e.g., the number ...
Stefan Wagenpfeil +2 more
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Fast and Effective Retrieval for Large Multimedia Collections
Big Data and Cognitive Computing, 2021 The indexing and retrieval of multimedia content is generally implemented by employing feature graphs. These graphs typically contain a significant number of nodes and edges to reflect the level of detail in feature detection.
Stefan Wagenpfeil +3 more
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Evaluating Multimedia and Language Tasks
Frontiers in Artificial Intelligence, 2020 Evaluating information access tasks, including textual and multimedia search, question answering, and understanding has been the core mission of NIST's Retrieval Group since 1989.
Ian Soboroff +5 more
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Advances in Multimedia, 2023 At present, based on the background of the big data era, the operation of enterprises has a great impact, and relevance is a principle set to meet the needs of enterprise operation and management. In today’s digital and network era, multimedia has become
Jun Yan, Hui Liu
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