Title :
Vector Edge Detection in H.264 Implementation
Author :
Zhao, Wei ; Luo, Zuying ; Fan, Jeffrey ; Tan, Sheldon X D
Author_Institution :
Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL
Abstract :
Motion estimation (ME) is one of the bottlenecks in terms of the computational cost in a video encoder system. In this paper, we present a cost-effective method to calculate the "Vector Edge" of the current frame. We store all the vectors\´ information within a frame and put them in the Laplacian of Gaussian edge detection operator. It is similar to the image edge detection but we need to consider two vectors instead of one, which is different from the luminous edge detection.The experiments show that the proposed method is different from a luminance based graphic edge detection because the edge doesn\´t go off with high light or dark shader. The edge recognition is better in quality, based on the proposed two separate matrices along with their convolutions by the Laplacian of Gaussian operator.
Keywords :
edge detection; mathematical operators; motion estimation; vectors; video coding; Gaussian edge detection operator; H.264 Implementation; Laplacian operator; motion estimation; vector edge detection; video encoder system; Bandwidth; Embedded software; Hardware; Image coding; Image edge detection; Laplace equations; Motion estimation; Object detection; TV; Video compression; Edge Detection; H.264 Architecture; Laplacian Operator;
Conference_Titel :
Embedded Software and Systems Symposia, 2008. ICESS Symposia '08. International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-0-7695-3288-2
DOI :
10.1109/ICESS.Symposia.2008.31