A Novel Method for Pre-Encoding Video Quality Prediction
Harilaos G. Koumaras, Thomas Pliakas, Anastasios Kourtis
Abstract
Harilaos G. Koumaras, Thomas Pliakas, Anastasios Kourtis
Abstract
This paper presents a novel method for fast and quantified estimation of the video quality for H.264 video content. Taking into account the instant video quality variation due to the video dynamics within a given H.264 encoded content, this paper introduces the Mean PQoS as a function of the video encoding rate and the picture resolution, and exploits it as a metric for objective video quality assessment. Based on the proposed metric, the paper presents a novel method for pre-encoding video quality prediction.
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This paper presents a novel method for fast and quantified estimation of the video quality for H.264 video content. Taking into account the instant video quality variation due to the video dynamics within a given H.264 encoded content, this paper introduces the Mean PQoS as a function of the video encoding rate and the picture resolution, and exploits it as a metric for objective video quality assessment. Based on the proposed metric, the paper presents a novel method for pre-encoding video quality prediction.
Key concepts: Video quality, Computer science, Encoding (memory), Multiview Video Coding, Metric (unit), Rate–distortion optimization, Video compression picture types, Video tracking