本文關(guān)鍵詞：HEVC預(yù)測(cè)單元分割模式自適應(yīng)快速選擇算法　出處：《西安電子科技大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： HEVC 預(yù)測(cè)單元 分割模式 空域相關(guān)性

【摘要】：HEVC(High Efficiency Video Coding)是在H.264/AVC之后發(fā)展起來的新一代視頻編碼標(biāo)準(zhǔn),其目標(biāo)是在H.264/AVC的基礎(chǔ)上,將視頻壓縮效率提高一倍。為了達(dá)到更好的編碼性能,HEVC采用比較靈活的編碼樹劃分結(jié)構(gòu),包括編碼單元、預(yù)測(cè)單元和變換單元,并使用8種幀間預(yù)測(cè)單元分割模式。HEVC為了獲得精確的運(yùn)動(dòng)參數(shù),在預(yù)測(cè)過程中采用基于率失真優(yōu)化的模式遍歷搜索方式,這帶來了很高的計(jì)算復(fù)雜度。本論文正是為了解決這種高計(jì)算復(fù)雜度問題,在保證編碼質(zhì)量的前提下,降低編碼復(fù)雜度,加快編碼速度�，F(xiàn)有的預(yù)測(cè)單元分割模式快速選擇算法有CFM、ESD以及Jong-Hyeok Lee提出的算法,這三個(gè)算法都在預(yù)測(cè)單元分割模式的略過上取得了較大成效,但是視頻編碼時(shí)間仍然有待減少,編碼復(fù)雜度有待降低。本文首先介紹了HEVC編碼標(biāo)準(zhǔn)的關(guān)鍵技術(shù),然后針對(duì)幀間預(yù)測(cè)單元分割模式選擇方法進(jìn)行了深入的研究,然后提出了基于空域相關(guān)性的預(yù)測(cè)單元分割模式自適應(yīng)快速選擇算法。HEVC的時(shí)域預(yù)測(cè)結(jié)構(gòu)分為低時(shí)延和隨機(jī)接入,在這兩種結(jié)構(gòu)下,視頻幀的編碼順序不同,編碼圖像和參考圖像之間的相對(duì)距離不同,因此,本論文把算法分為低時(shí)延和隨機(jī)接入兩部分進(jìn)行詳細(xì)介紹。本算法的主要思想是,對(duì)當(dāng)前編碼單元之前所有時(shí)域同質(zhì)的已編碼單元,構(gòu)建編碼單元與其最佳空域參考編碼單元之間的預(yù)測(cè)單元分割模式概率表,根據(jù)當(dāng)前編碼單元的最佳空域相鄰編碼單元的預(yù)測(cè)單元分割模式,按照所構(gòu)建的概率表自適應(yīng)地選擇預(yù)測(cè)單元候選分割模式,略過冗余分割模式率失真代價(jià)函數(shù)的計(jì)算過程。實(shí)驗(yàn)結(jié)果表明,在低時(shí)延時(shí)域預(yù)測(cè)結(jié)構(gòu)下,與CFM算法相比,編碼時(shí)間減少了約15.31%,BD-PSNR僅減少了0.0186dB;與ESD算法相比,編碼時(shí)間減少了約22.72%,BD-PSNR僅減少了0.04793dB;在隨機(jī)接入時(shí)域預(yù)測(cè)結(jié)構(gòu)下,與CFM算法相比,編碼時(shí)間減少了約16.01%,BD-PSNR僅減少了0.00928dB;與ESD算法相比,編碼時(shí)間減少了約21.33%,BD-PSNR僅減少了0.03367dB;與Jong-Hyeok Lee的算法相比,時(shí)間平均減少了9.04%,而BD-PSNR增大了約0.0256dB。綜上所述,本文算法在保證編碼質(zhì)量的前提下,減少了編碼時(shí)間。
[Abstract]:HEVC(High Efficiency Video coding is a new generation of video coding standards developed after H.264 / AVC. The goal is to double the efficiency of video compression on the basis of H.264 / AVC. In order to achieve better coding performance, HEVC adopts a more flexible coding tree partition structure, including coding units. In order to obtain the accurate motion parameters, the prediction unit and the transform unit adopt the mode traversal search method based on rate-distortion optimization in order to obtain accurate motion parameters. This paper aims to solve the problem of high computational complexity and reduce the complexity of coding on the premise of ensuring the quality of coding. Speed up the coding. The existing fast selection algorithms of prediction unit segmentation mode include CFM / ESD and Jong-Hyeok Lee. These three algorithms have achieved great results in predicting cell segmentation mode, but the video coding time still needs to be reduced. The coding complexity needs to be reduced. Firstly, this paper introduces the key technologies of HEVC coding standard, and then makes a deep research on the selection method of inter-frame prediction unit segmentation mode. Then, the prediction cell segmentation mode adaptive fast selection algorithm based on spatial correlation is proposed. The time domain prediction structure of HEVC is divided into low delay and random access, under these two structures. The coding sequence of video frames is different, and the relative distance between the encoded image and reference image is different. Therefore, this paper divides the algorithm into two parts: low delay and random access. The main idea of this algorithm is. A probability table of partitioned mode between the encoding unit and its optimal spatial reference coding unit is constructed for all the homogeneous coded units in the time domain prior to the current encoding unit. According to the prediction unit partition mode of the best spatial adjacent coding unit of the current coding unit, the candidate segmentation mode of the prediction unit is adaptively selected according to the constructed probability table. The experimental results show that the coding time is about 15.31% less than that of CFM algorithm in low time delay domain prediction structure. BD-PSNR only decreased by 0.0186dB; Compared with the ESD algorithm, the coding time is reduced by about 22.72 and only 0.04793 dB; In the random access time domain prediction structure, compared with the CFM algorithm, the coding time is reduced by about 16.01 and BD-PSNR is only reduced by 0.00928 dB; Compared with the ESD algorithm, the coding time is reduced by 21.33 and only 0.03367dB is reduced by BD-PSNR. Compared with the Jong-Hyeok Lee algorithm, the average time is reduced by 9.04 and the BD-PSNR increases by about 0.0256 dB. The algorithm reduces the coding time on the premise of ensuring coding quality.
【學(xué)位授予單位】：西安電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN919.81

【相似文獻(xiàn)】

相關(guān)期刊論文 前2條

1 陳振宇,陳振寧;怎樣計(jì)算現(xiàn)代漢語句子的時(shí)間信息[J];中文信息學(xué)報(bào);2005年03期

2 ;[J];;年期

相關(guān)重要報(bào)紙文章 前1條

1 本報(bào)記者 張九陸;突破開發(fā)瓶頸[N];中國財(cái)經(jīng)報(bào);2001年

相關(guān)碩士學(xué)位論文 前4條

1 李曉波;高清視頻低復(fù)雜度編碼方法研究[D];寧波大學(xué);2015年

2 張豆豆;幾種改進(jìn)的快速分形圖像壓縮算法[D];大連理工大學(xué);2015年

3 宋朵;一種新的HEVC預(yù)測(cè)單元分割模式快速選擇算法[D];西安電子科技大學(xué);2014年

4 趙力新;HEVC預(yù)測(cè)單元分割模式自適應(yīng)快速選擇算法[D];西安電子科技大學(xué);2014年

，

本文編號(hào)：1410672