Title :
Applying neuron network to improve characteristic of video encoder
Author :
Markoski, B. ; Pelemis, S. ; Mihailovic, J.
Author_Institution :
Fac. of Tech. Sci., Univ. of Novi Sad, Novi Sad
Abstract :
The paper deals with h.263 recommendation for the video stream compression. Purpose of the modification is a stream compression enhancement with insignificant losses in picture quality. Enhancement of the video stream compression is achieved by unsupervised artificial neural network. The artificial neural network is used for generating codebook prototypes for blocks with over-average level of changes. Dynamic video sequence from Matrix movie is used in purpose of comparative testing of the described enhanced h.263 video codes.
Keywords :
artificial intelligence; data compression; image enhancement; neural nets; video coding; video streaming; Matrix movie; codebook prototypes; h.263 recommendation; h.263 video codes; neuron network; picture quality; stream compression enhancement; unsupervised artificial neural network; video stream compression; Artificial neural networks; Code standards; Discrete cosine transforms; Motion pictures; Neurons; Streaming media; Testing; Video compression; Video sequences; Videoconference;
Conference_Titel :
Microelectronics, 2008. MIEL 2008. 26th International Conference on
Conference_Location :
Nis
Print_ISBN :
978-1-4244-1881-7
Electronic_ISBN :
978-1-4244-1882-4
DOI :
10.1109/ICMEL.2008.4559241
