Title :
An Improved Video Mosaic Block Detection Method Considering the Boundary of Macroblock
Author :
Dong, Quanwu ; Zhou, Tong ; Xiao, Jianguo
Author_Institution :
Inst. of Comput. Sci. & Technol., Peking Univ., Beijing, China
Abstract :
This passage proposes a new method to detect mosaic not only using the Y (luminance) component in YUV color space of videos, but also using the U (chrominance) and V component. The mosaic effect is measured by the boundary pixel difference from the neighbor macroblock. Instead of detecting the existence and position of mosaic blocks as traditional methods do, this method focuses on the statistics of the number of suspected mosaic blocks so that the quality of the whole frame affected by mosaic can be assessed. Experimental results show that the new method has good performance on fallout ratio, omission factor and computational complexity.
Keywords :
computational complexity; image colour analysis; image segmentation; object detection; statistics; video signal processing; YUV color space; boundary pixel difference; computational complexity; fallout ratio; macroblock boundary; mosaic effect; omission factor; statistics; video mosaic block detection method; Computational complexity; Educational institutions; Image edge detection; Measurement; Pattern recognition; Support vector machines; TV; TV; macroblock; mosaic; video;
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2012 Eighth International Conference on
Conference_Location :
Piraeus
Print_ISBN :
978-1-4673-1741-2
DOI :
10.1109/IIH-MSP.2012.53