Abstract:
Video distribution over error-prone Internet Protocol (IP) networks results in visual impairments on the received video streams. Objective impairment detection algorithms...Show MoreMetadata
Abstract:
Video distribution over error-prone Internet Protocol (IP) networks results in visual impairments on the received video streams. Objective impairment detection algorithms are crucial for maintaining a high Quality of Experience (QoE) as provided with IPTV distribution. There is a lot of research invested in H.264/AVC impairment detection models and questions rise if these turn obsolete with a transition to the successor of H.264/AVC, called High Efficiency Video Coding (HEVC). In this paper, first we show that impairments on HEVC compressed sequences are more visible compaired to H.264/AVC encoded sequences. We also show that an impairment detection model designed for H.264/AVC could be reused on HEVC, but that caution is advised. A more accurate model taking into account content classification needed slight modification to remain applicable for HEVC compression video content.
Date of Conference: 05-07 July 2012
Date Added to IEEE Xplore: 09 August 2012
ISBN Information:
IBBT, Department of Electronics and Information Systems, Ghent University, Ghent, Belgium
IBBT, Department of Information Technology, Ghent University, Ghent, Belgium
AGH University of Science and Technology, Poland
IBBT, Department of Electronics and Information Systems, Ghent University, Ghent, Belgium
IBBT, Department of Information Technology, Ghent University, Ghent, Belgium
IBBT, Department of Electronics and Information Systems, Ghent University, Ghent, Belgium
IBBT, Department of Electronics and Information Systems, Ghent University, Ghent, Belgium
IBBT, Department of Information Technology, Ghent University, Ghent, Belgium
AGH University of Science and Technology, Poland
IBBT, Department of Electronics and Information Systems, Ghent University, Ghent, Belgium
IBBT, Department of Information Technology, Ghent University, Ghent, Belgium
IBBT, Department of Electronics and Information Systems, Ghent University, Ghent, Belgium