Human eye interfaced multiple video objects coding

Jae Jeong Hwang; Sang-Gyu Cho; Chi-Gyu Hwang; Hong Ren Wu

doi:10.1117/12.502888

23 June 2003 Human eye interfaced segmentation and multiple video object coding

Jae Jeong Hwang, Sang-Gyu Cho, Chi-Gyu Hwang, Hong Ren Wu

Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.502888
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland

Abstract

In the general multiple video object coder, more interesting objects such as a speaker or a moving object is consistently coded with higher priority. Since the priority of each object may not be fixed in the whole sequence and be variable on a frame by frame basis, it must be adjusted in a frame. In this paper, we analyze the independent rate control algorithm and the global algorithm that the QP value is controlled by static parameters, object importance or priority, the target PSNR and the weighted distortion. The priority among static parameters is analyzed and adjusted into dynamic parameters according to the visual interests or importance obtained by a camera interface. The target PSNR and the weighted distortion are proportional to magnitude, motion, and distortion. We apply these parameters for the weighted distortion control and the priority-based control leading to an efficient bit-rate distribution. As result, we have achieved that fewer bits are allocated for video objects which have less importance and more bits for those which have higher visual importance. The period to reach stability in the visual quality is reduced to less than 15 frames of the coded sequence. With respect to the PSNR, the proposed scheme shows higher quality of over 2dB than the conventional schemes. Thus the coding scheme interfaced to human-eyes proves to be an efficient video coder dealing with the multiple video objects.

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Jae Jeong Hwang, Sang-Gyu Cho, Chi-Gyu Hwang, and Hong Ren Wu "Human eye interfaced segmentation and multiple video object coding", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); https://doi.org/10.1117/12.502888

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KEYWORDS

Distortion

Video

Eye

Video coding

Visualization

Detection and tracking algorithms

Computer programming

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