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QoMEX’09

Best Paper Awards

EPFL Best Paper Award

GRADIENT ASCENT PAIRED-COMPARISON SUBJECTIVE QUALITY TESTING by Stephen Voran and Andrew Catellier

Qualcomm Best Student Paper Award

SUBJECTIVE ASSESSMENT OF H.264/AVC VIDEO SEQUENCES TRANSMITTED OVER A NOISY CHANNEL by F. De Simone, M. Naccari, M. Tagliasacchi, F. Dufaux, S. Tubaro, T. Ebrahimi

Best Paper Award candidates

  1. GRADIENT ASCENT PAIRED-COMPARISON SUBJECTIVE QUALITY TESTING
  2. A TAXONOMY OF QUALITY OF SERVICE AND QUALITY OF EXPERIENCE OF MULTIMODAL HUMAN-MACHINE INTERACTION
  3. COMPARING APPLES AND ORANGES: SUBJECTIVE QUALITY ASSESSMENT OF STREAMED VIDEO WITH DIFFERENT TYPES OF DISTORTION
  4. A METHOD FOR SYNCHRONIZATION MISMATCH PERCEPTION EVALUATION FOR LARGE ULTRA HIGH RESOLUTION TILED DISPLAYs
  5. MEASURING MEDIATED COMMUNICATION EXPERIENCE
  6. A GROUPLET-BASED REDUCED REFERENCE IMAGE QUALITY ASSESSMENT
  7. LEARNING THE PROPERTIES OF RECEPTIVE FIELDS IN THE CONTEXT OF PERCEPTUAL IMAGE QUALITY ASSESSMENT

Best Student Paper Award candidates

  1. VISIBILITY THRESHOLDS FOR QUANTIZATION DISTORTION IN JPEG2000
  2. E-MODEL SUPPORTED SWITCHING BETWEEN NARROWBAND AND WIDEBAND SPEECH QUALITY
  3. OPTIMAL RCPC CHANNEL RATE ALLOCATION IN AWGN CHANNEL FOR PERCEPTUAL VIDEO QUALITY USING INTEGER PROGRAMMING
  4. SUBJECTIVE ASSESSMENT OF H.264/AVC VIDEO SEQUENCES TRANSMITTED OVER A NOISY CHANNEL
  5. IMPAIRMENT-FACTOR-BASED AUDIO-VISUAL QUALITY MODEL FOR IPTV
  6. NO-REFERENCE IMAGE BLUR ASSESSMENT USING MULTISCALE GRADIENT
  7. A NO-REFERENCE PERCEPTUAL IMAGE SHARPNESS METRIC BASED ON A CUMULATIVE PROBABILITY OF BLUR DETECTION