本文關(guān)鍵詞： HEVC模式選擇 幀間預測 塊劃分　出處：《西安電子科技大學》2014年碩士論文　論文類型：學位論文

【摘要】：HEVC(High Efficiency Video Coding)是由兩大視頻編碼標準制定者ITU-T和ISO/IEC聯(lián)合制定的下一代新標準。隨著視頻編碼質(zhì)量要求越來越高，H.264已經(jīng)不能滿足人們的需求。但與H.264相比，HEVC的編碼效率提升的時候也帶來了一些比較棘手的問題，高計算復雜度的增加尤為明顯。如何降低HEVC編碼算法的復雜度在保證編碼的性能的基礎(chǔ)上，成為HEVC標準研究的一個重要問題。 為了提升編碼性能，本文首先介紹了HEVC編碼標準中一些基本概念，然后針對其中的幀間模式預測和CU塊劃分算法進行了深入研究。本文關(guān)于這兩部分內(nèi)容分別從PU和CU的角度提出了兩種快速算法。第一種先對視頻序列的運動特征進行統(tǒng)計，得到合適的實驗值，接著分析了前一幀中對應塊的大尺寸CU與當前塊中小尺寸CU的PU模式的相關(guān)性，從中盡可能多的減少PU的冗余。與HM12.0測試模型中的標準算法相比，在全I幀的情況下，在保證PSNR幾乎不變的情況下，編碼時間減少了54.09%。第二種考慮到視頻幀的紋理特性和編碼中所采用的量化參數(shù)影響最優(yōu)編碼單元(CU)模式的選擇，通過這些因素來提前終止CU的劃分。實驗結(jié)果表明與HM-12.0原始算法相比，，在全I幀以及PSNR不變的情況下，編碼時間減少了37.42%，編碼速度得到顯著提升。
[Abstract]:HEVC(High Efficiency Video coding). ITU-T and ISO/IEC are the next generation of new video coding standards developed by the two major video coding standards. With the quality of video coding requirements higher and higher. H.264 has not been able to meet the needs of people, but compared with H. 264, the coding efficiency of HEVC has also brought some thorny problems. The increase of high computational complexity is especially obvious. How to reduce the complexity of HEVC coding algorithm has become an important problem in the research of HEVC standard on the basis of ensuring the performance of coding. In order to improve the coding performance, this paper first introduces some basic concepts in the HEVC coding standard. Then, the inter-frame mode prediction and CU block partitioning algorithm are studied in depth. In this paper, two fast algorithms are proposed from the point of view of pu and CU, respectively. The first one is for video sequence. The movement characteristics were counted. Then the correlation between the large size CU of the corresponding block in the previous frame and the pu mode of the current medium and small size CU of the current block is analyzed. Compared with the standard algorithm in the HM12.0 test model, it can reduce the redundancy of pu as much as possible. In the case of full I frame, the PSNR is almost unchanged. The coding time is reduced by 54.09. The second method takes into account the texture characteristics of the video frame and the quantization parameters used in the coding to influence the selection of the optimal coding unit (CU) mode. The experimental results show that compared with the original HM-12.0 algorithm, the coding time is reduced by 37.42% in the case of full I frame and PSNR invariant. The coding speed was significantly improved.
【學位授予單位】：西安電子科技大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN919.81

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