A New H.264/AVC Error Resilience Model Based on Regions of Interest

Fadi Boulos (1) , Wei Chen (1) , Benoît Parrein (1) , Patrick Le Callet (1)

1 IRCCyN - Institut de Recherche en Communications et en Cybernétique de Nantes

Video transmission over the Internet can sometimes be subject to packet loss which reduces the end-user's Quality of Experience (QoE). Solutions aiming at improving the robustness of a video bitstream can be used to subdue this problem. In this paper, we propose a new Region of Interest-based error resilience model to protect the most important part of the picture from distortions. We conduct eye tracking tests in order to collect the Region of Interest (RoI) data. Then, we apply in the encoder an intra-prediction restriction algorithm to the macroblocks belonging to the RoI. Results show that while no significant overhead is noted, the perceived quality of the video's RoI, measured by means of a perceptual video quality metric, increases in the presence of packet loss compared to the traditional encoding approach.

Keywords: Eye tracking; region of interest; packet loss; error resilience; perceptual quality

Domains: Signal and Image processing; Signal and Image Processing

Fadi Boulos, Wei Chen, Benoît Parrein, Patrick Le Callet. A New H.264/AVC Error Resilience Model Based on Regions of Interest. Packet Video, May 2009, Seattle, Washington, United States. pp.1-9, ⟨10.1109/PACKET.2009.5152159⟩. ⟨hal-00404333⟩