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Content-Aware Video Transmission in HEVC Context: Optimization of compression, of error resilience and concealment, and of visual quality

Ahmed Aldahdooh 1, 2 
Abstract : In this work, the global/local content characteristics are utilized in order to improve the delivery chain of the video sequences. The work is divided into four main parts that take advantages of video content features. The first part introduces a joint content-complexity encoder parameters prediction model. This model uses bitrate, distortion, and complexity of different parameters configurations in order to get the recommended encoder parameters value. Then, the links between content features and the recommended values are identified. Finally, the prediction model is built using these features and the recommended encoder parameter values. The second part illustrates the proposed multiple description coding (MDC) scheme that is optimized for high-order MDC. The corresponding decoding and content-dependent error recovery procedures are also identified. The quality of the received videos is evaluated subjectively. By analyzing the subjective experiment results, an adaptive, i.e. content-aware, scheme is introduced. Finally, an application scenario is simulated to study the realistic bitrate consumption. The third part uses the motion properties of a content to introduce a motion map that will be used as an input for the modified state-of-the-art inpainting based error concealment algorithm. A subjective experiment was conducted to evaluate the algorithm and also to study the content-aware observer’s disturbance when perceiving the processed videos. The fourth part has two sub-parts, the first one is about HRC selection algorithms for the large-scale video database with an improved performance evaluation measures for video quality assessment algorithms using training and validation sets. The second part introduces global content aware no-reference video quality assessment
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Contributor : Ahmed ALDAHDOOH Connect in order to contact the contributor
Submitted on : Monday, February 19, 2018 - 10:22:49 AM
Last modification on : Wednesday, April 27, 2022 - 4:23:44 AM
Long-term archiving on: : Monday, May 7, 2018 - 7:14:36 PM


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  • HAL Id : tel-01711988, version 1


Ahmed Aldahdooh. Content-Aware Video Transmission in HEVC Context: Optimization of compression, of error resilience and concealment, and of visual quality. Computer Vision and Pattern Recognition [cs.CV]. Nantes (FRANCE) : Ecole polytechnique de l'université de Nantes, 2017. English. ⟨tel-01711988⟩



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