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TA.P1: Video Quality Assessment

Session Type: Poster
Time: Tuesday, September 27, 10:30 - 11:50
Location: Room 301 CD: Poster Area 1
Session Chair: Amy Reibman, Purdue University
 
Presented 10:30 - 11:00
 
   TA.P1.1: AN OPTICAL FLOW-BASED NO-REFERENCE VIDEO QUALITY ASSESSMENT ALGORITHM
         Manasa K; Indian Institute of Technology Hyderabad
         Sumohana Channappayya; Indian Institute of Technology Hyderabad
 
   TA.P1.2: QUALITY-OF-EXPERIENCE OF STREAMING VIDEO: INTERACTIONS BETWEEN PRESENTATION QUALITY AND PLAYBACK STALLING
         Kai Zeng; University of Waterloo
         Hojatollah Yeganeh; University of Waterloo
         Zhou Wang; University of Waterloo
 
   TA.P1.3: VIDEO AESTHETIC QUALITY ASSESSMENT USING KERNEL SUPPORT VECTOR MACHINE WITH ISOTROPIC GAUSSIAN SAMPLE UNCERTAINTY (KSVM-IGSU)
         Christos Tzelepis; Centre for Research and Technology Hellas
         Eftichia Mavridaki; Centre for Research and Technology Hellas
         Vasileios Mezaris; Centre for Research and Technology Hellas
         Ioannis Patras; Queen Mary University of London
 
   TA.P1.4: PERCEPTUAL CONTRAST SENSITIVITY BASED VIDEO QUALITY ASSESSMENT IN DCT DOMAIN
         Junyong You; Christian Michelsen Research
 
   TA.P1.5: THE EFFECT OF PERCEPTUAL VIDEO QUALITY ON EEG POWER DISTRIBUTION
         Philip Davis; New Mexico State University
         Charles Creusere; New Mexico State University
         Jim Kroger; New Mexico State University
 
   TA.P1.6: WHAT’S ON TV: A LARGE SCALE QUANTITATIVE CHARACTERISATION OF MODERN BROADCAST VIDEO CONTENT
         Felix Mercer Moss; University of Bristol
         Fan Zhang; University of Bristol
         Roland Baddeley; University of Bristol
         David R. Bull; University of Bristol
 
   TA.P1.7: QUALITY METRIC FOR CAMERA-BASED PULSE RATE MONITORING IN FITNESS EXERCISE
         Wenjin Wang; Eindhoven University of Technology
         Benoit Balmaekers; Philips Research Eindhoven
         Gerard de Haan; Philips Research Eindhoven
 
   TA.P1.8: THE VISIBILITY OF MOTION ARTIFACTS AND THEIR EFFECT ON MOTION QUALITY
         Alex Mackin; University of Bristol
         Katy Noland; BBC Research and Development
         David R. Bull; University of Bristol
 
Presented 11:00 - 11:30
 
   TA.P1.9: CHARACTERIZING DISTORTIONS IN FIRST-PERSON VIDEOS
         Chen Bai; Purdue University
         Amy R. Reibman; Purdue University
 
 
End-of-Session Forum (all presenters available for discussion) 11:30 - 11:50