MOTION TRAJECTORY BASED VISUAL SALIENCY FOR VIDEO QUALITY ASSESSMENT

被引：0

作者：

Ma, Lin ^{[1
]}

Li, Songnan ^{[1
]}

Ngan, King N. ^{[1
]}

机构：

[1] Chinese Univ Hong Kong, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China

来源：

2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2011年

关键词：

Motion Trajectory; Visual Saliency; Video Quality Assessment (VQA); Human Visual System (HVS); NOTICEABLE-DISTORTION PROFILE;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we propose a novel visual saliency detection method for video sequences by considering the object motion trajectories. Firstly, each frame of the video sequence is described in a new Quaternion Representation (QR), which comprises the spatial image content and the temporal motion characteristics. Based on the QR, Quaternion Fourier Transform (QFT) is employed to construct the visual saliency of the video sequence. Finally, the detected visual saliency map is incorporated with several video quality metrics. Compared with other visual saliency models, the proposed method can improve the performances of video quality metrics. It further confirms that the proposed visual saliency model can accurately depict the Human Vision System (HVS) properties.

引用

页码：233 / 236

页数：4

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