No-reference bitstream-based impairment detection for high efficiency video coding

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 inv...

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Hauptverfasser: Van Wallendael, G., Staelens, N., Janowski, L., De Cock, J., Demeester, P., Van de Walle, R.
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Staelens, N.
Janowski, L.
De Cock, J.
Demeester, P.
Van de Walle, R.
description 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.
doi_str_mv 10.1109/QoMEX.2012.6263845
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Accuracy
High Efficiency Video Coding (HEVC)
IPTV
Measurement
Objective video quality
Quality of Experience (QoE)
Streaming media
Video coding
Visualization
title No-reference bitstream-based impairment detection for high efficiency video coding
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