Thomson Licensing

De Bing Liu

Zhi Chen

Xiao Dong Gu

Feng Xu

Blur is one of the most important features related to video quality. Accurate estimating the blur level of a video is a great help to accurately evaluate the video quality. An improved method is provided for estimating the blur level of videos that are compressed by a block based codec, such as H.264/AVC, MPEG2, etc. According to the invention, local blur detection is based on macroblock (MB) edges, a content dependent weighting scheme is employed to decrease the influence from texture and when detecting local blur, the spreading of detection will stop at local minimum and maximum luminance positions.

Blur measurement in a block-based compressed image

A method and apparatus for measuring the quality of a video is provided. The method comprises: generating a frame loss pattern of the video by indicating whether each frame in the video is lost or successfully transmitted; and evaluating the quality of the video as a function of the generated t came loss pattern.

Method and apparatus for measuring quality of video based on frame loss pattern

Accurately estimating the image quality of video is still difficult, especially when there is no reference video available. A method for determining a quality measure for a video image comprises selecting a measuring point, such as a MB, determining a context area around the measuring point, calculating a variance of pixel values in the context area, calculating a variance of pixel values in the measuring point, calculating a relation between the two variances of pixel values, and averaging said relations for a plurality of measuring points, wherein a quality measure for a video image is obtained.

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Beijing, China

De Bing Liu