1. Evaluation model considering static-temporal quality degradation and human memory for SSCQE video quality
- Author
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Yuukou Horita, Irwan Prasetya Gunawan, Mohammed Ghanbari, Takamichi Miyata, and Tadakuni Murai
- Subjects
Motion compensation ,Video post-processing ,Computer science ,Image quality ,business.industry ,Video processing ,Video quality ,Scalable Video Coding ,Video compression picture types ,Uncompressed video ,Rate–distortion optimization ,Video tracking ,Computer vision ,Artificial intelligence ,PEVQ ,Multiview Video Coding ,business ,Simulation ,Subjective video quality ,Block-matching algorithm - Abstract
To perform Quality of Service (QoS) control of video communication more efficiently, it is necessary to develop an objective quality evaluation method for coded video. Many proposed conventional methods to obtain video quality require the availability of both reference and processed video sequence. However, in case of re-encoding the coded video stream at the receiver side where reference video sequence is not present, it is impossible to do such a full-reference evaluation. Therefore, we have developed a video quality evaluation model by using reduced reference for evaluated value obtained by SSCQE method. In this approach, we use some features extracted from reference video. It is called reduced-reference method by VQEG. Transmitting these features with coded video, the proposed model can estimate the video quality, even in the absent of the full original video in the decoder side. The video quality rating obtained from the proposed model shows good agreement with subjective quality.© (2003) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
- Published
- 2003
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