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Equal Partition Based Clustering Approach for Event Summarization in Videos
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/rtim.1999.0197openalex-snapshot
Video Summarization Using R-Sequences
inferredcites →https://doi.org/10.1109/76.809161openalex-snapshot
Efficient video indexing scheme for content-based retrieval
inferredcites →https://doi.org/10.1109/76.825852openalex-snapshot
Performance characterization of video-shot-change detection methods
inferredcites →https://doi.org/10.1109/cvpr.2000.854772openalex-snapshot
Video summarization using singular value decomposition
inferredcites →https://doi.org/10.1109/icassp.2001.941253openalex-snapshot
Detection of slow-motion replay segments in sports video for highlights generation
inferredcites →https://doi.org/10.1109/icip.2002.1038097openalex-snapshot
Extract highlights from baseball game video with hidden Markov models
inferredcites →https://doi.org/10.1109/icme.2004.1394643openalex-snapshot
Contextual browsing for highlights in sports video
inferredcites →https://doi.org/10.1109/icmlc.2003.1260028openalex-snapshot
Replay boundary detection in MPEG compressed video
inferredcites →https://doi.org/10.1109/tcsvt.2009.2013517openalex-snapshot
Equivalent Key Frames Selection Based on Iso-Content Principles
inferredcites →https://doi.org/10.1109/tcsvt.2012.2214871openalex-snapshot
Keypoint-Based Keyframe Selection
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Shaping the Video Conferences of Tomorrow With AI
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