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:

Multiple description coding is a technique where all the transmitted segments of data, or descriptions, can be independently decoded. In this paper, a multiple description coding technique for videos is proposed, based on optimal Lagrangian rate allocation. in "T2+D" wavelet video coding, first, motion compensated temporal filtering (MCTF) is performed along the temporal direction to efficiently decorrelate frames within a GOP. Then, all low-pass filtered frames are encoded using JPEG+222 coder. All code blocks are coded at two different rates. Then blocks are split into threesubsets with similar rate distortion characteristics; three balanced descriptions are generated by combining code blocks belonging to the three subsets encoded at opposite rates. A theoretical analysis is carried out, and the optimal rate distortion conditions are worked out. Simulation results show a noticeable performance improvement with respect to Akyol algorithm.