کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
536798 870626 2016 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Enhanced pipelined architecture of H.264/AVC intra prediction
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Enhanced pipelined architecture of H.264/AVC intra prediction
چکیده انگلیسی


• The pipelined method in and between macro blocks accelerates the encoding speed.
• All 4×4 mode formula sharing method allows 16-pixel and 9-mode parallelism.
• Streamlined reconstruction method optimizes the computational redundancy.
• CAVLC encoder with three parallel units improves entropy coding speed significantly.

This paper presents a high-performance encoder for H.264/AVC intra prediction. Due to long data dependency loop of intra 4×4 prediction and complex algorithms, improving encoding speed turns into a stumbling block we have to face. To solve this problem, we first propose a pipelined method in and between macro blocks with new block processing order to accelerate the encoding speed. Benefiting from the pipelined method, reconstructed pixels of up-right blocks are available for two blocks in a macro block which could not take advantage of reconstructed pixels of up-right blocks in JM. So diagonal down left mode and vertical left mode are effective for these two blocks, which ultimately achieves a better bit-rate. Secondly, all 4×4 mode formula sharing method is proposed to reduce the redundancy of predicting formulas. Thirdly, streamlined reconstruction method is applied to improve the performance of reconstruction. CAVLC encoder with three parallel units is proposed to improve entropy coding speed significantly. As a result, it takes 268 cycles to encode a macro block. The experimental results indicate that synthesized into a 0.18 µm CMOS cell library, the new architecture only requires about 238K gates and it is able to encode 1080pHD video sequences at 30 frames per second (fps), at the operating frequency of 56 MHz.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing: Image Communication - Volume 41, February 2016, Pages 72–84
نویسندگان
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