Very low bit-rate video coding based on a method of facial area specification

K. Ishikawa, O. Nakamura
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引用次数: 3

Abstract

An efficient video coding algorithm for coding the upper half of a human body is proposed. In the coding system, the facial area, which is a moving object in the image sequence, is extracted from both the sending and receiving side without any control information. The candidate areas of the person are segmented using color information and the moving areas. The color information, which represent skin color, is extracted with a modified HSV color system. The moving areas are estimated using the motion parameters of objects, which are utilized for constructing the previous frame. The face is then extracted by merging the candidate areas based on the hue element of the modified HSV color system. The standard "Claire" video is used for the computer simulation, and facial areas are accurately extracted in all frames. Furthermore, to improve the subjective evaluation, the eyes and mouth are extracted as the most important areas in the face and coded precisely.
一种基于面部区域规范的极低比特率视频编码方法
提出了一种高效的人体上半身视频编码算法。在编码系统中,人脸区域作为图像序列中的运动对象,在没有任何控制信息的情况下,从发送端和接收端提取。利用颜色信息和运动区域对人的候选区域进行分割。用改进的HSV颜色系统提取代表皮肤颜色的颜色信息。利用目标的运动参数估计运动区域,并利用这些参数构造前一帧。然后,根据改进的HSV颜色系统的色相元素合并候选区域,提取人脸。采用标准的“克莱尔”视频进行计算机模拟,并在所有帧中准确提取面部区域。此外,为了提高主观评价,将眼睛和嘴巴作为人脸中最重要的区域进行提取并进行精确编码。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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