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The Semantic Pathfinder: Using an Authoring Metaphor for Generic Multimedia Indexing
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Outgoing claims: the papers this work cites, builds on, or argues with.
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The Nature of Statistical Learning Theory
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The Nature of Statistical Learning Theory
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Multimodal Video Indexing: A Review of the State-of-the-art
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Object Detection Using the Statistics of Parts
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Multimedia Event-Based Video Indexing: A Review of the State-of-the-art
inferredcites →https://doi.org/10.1109/tnn.2002.1021881openalex-snapshot
Extracting semantics from audio-visual content: the final frontier in multimedia retrieval
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Learning rich semantics from news video archives by style analysis
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The distributed ASCI Supercomputer project
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Informedia at TRECVID 2003: Analyzing and Searching Broadcast News Video
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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High-Level Feature Detection from Video in TRECVid: A 5-Year Retrospective of Achievements
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AVR (advancing video retrieval): A new framework guided by multi-level fusion of visual and semantic Features for deep learning-based concept detection
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Automatic creation and evaluation of MPEG-7 compliant summary descriptions for generic audiovisual content
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Modeling "Just-in-Time" Communication in Distributed Real-Time Multimedia Applications
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On the Optimization of Resource Utilization in Distributed Multimedia Applications
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Semantic Video Shot Segmentation Based on Color Ratio Feature and SVM
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The Role of Visual Content and Style for Concert Video Indexing
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A Learned Lexicon-Driven Paradigm for Interactive Video Retrieval
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Browsing Video Along Multiple Threads
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Indexation et recherche par contenu visuel, sémantique et multi-niveaux des documents multimédia
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