سال انتشار: ۱۳۸۹

محل انتشار: ششمین کنفرانس ماشین بینایی و پردازش تصویر

تعداد صفحات: ۴

نویسنده(ها):

Zohre Foroushi – MSc. student, Iran University of Science and Technology
Majid R. Ardestani – PhD. student, Iran University of Science and Technology
Ali Asghare Beheshti Shirazi – Proffessor assistant, Iran University of Science and Technology

چکیده:

The new MPEG standardization effort of H.462 /AVC scalable extension, Joint Scalable Video Coding (JSVM) is currently being made for efficient scalable video coding (SVC). Reducing the energy of high-pass temporal frames helps to improve the quality and supports for compression efficiency. Since bi directional motion–compensated prediction generally reduces the energy of the prediction residual in comparsion to uni-directional prediction, thus we use the bi directional prediction and by selecting the coefficients of prediction step, adaptively, we are going to reduce the energy of high-pass temporal frames. Experimental results show that the proposed algorithm can significantly improve the quality of the reconstructed video sequence, both in PSNR and in subjective visual quality. as proposed technique can improve coding performance by up 3.0 dB.