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MA.L7: Video Analysis and Understanding I

Session Type: Lecture
Time: Monday, September 26, 10:30 - 12:30
Location: Room 102 A
Session Chair: Scott Acton, University of Virginia
 
Presented 10:30 - 10:50
   MA.L7.1: KEYPOINT TRAJECTORY CODING ON COMPACT DESCRIPTOR FOR VIDEO ANALYSIS
         Dong Tian; Mitsubishi Electric Research Laboratories
         Huifang Sun; Mitsubishi Electric Research Laboratories
         Anthony Vetro; Mitsubishi Electric Research Laboratories
 
Presented 10:50 - 11:10
   MA.L7.2: REAL-TIME VIDEO SUMMARIZATION ON MOBILE
         Smit Marvaniya; Samsung R&D Institute, Bangalore
         Mogilipaka Damoder; Samsung R&D Institute, Bangalore
         Viswanath Gopalakrishnan; Samsung R&D Institute, Bangalore
         Kiran Nanjunda Iyer; Samsung R&D Institute, Bangalore
         Kapil Soni; Samsung R&D Institute, Bangalore
 
Presented 11:10 - 11:30
   MA.L7.3: PATCH SIMILARITY BASED EDGE-PRESERVING BACKGROUND ESTIMATION FOR SINGLE FRAME INFRARED SMALL TARGET DETECTION
         Kun Bai; Huazhong University of Science and Technology
         Yuehuan Wang; Huazhong University of Science and Technology
         Qiong Song; Huazhong University of Science and Technology
 
Presented 11:30 - 11:50
   MA.L7.4: ONLINE MULTI-TASK LEARNING FOR SEMANTIC CONCEPT DETECTION IN VIDEO
         Foteini Markatopoulou; Centre for Research and Technology Hellas
         Vasileios Mezaris; Centre for Research and Technology Hellas
         Ioannis Patras; Queen Mary University of London
 
Presented 11:50 - 12:10
   MA.L7.5: EMBEDDED SPARSE CODING FOR SUMMARIZING MULTI-VIEW VIDEOS
         Rameswar Panda; University of California, Riverside
         Abir Das; University of Massachusetts, Lowell
         Amit K. Roy-Chowdhury; University of California, Riverside
 
Presented 12:10 - 12:30
   MA.L7.6: FEATURELESS: BYPASSING FEATURE EXTRACTION IN ACTION CATEGORIZATION
         Silvia-Laura Pintea; University of Amsterdam
         Pascal Mettes; University of Amsterdam
         Jan van Gemert; Delft University of Technology
         Arnold Smeulders; University of Amsterdam