視頻壓縮中的高效預(yù)測(cè)技術(shù)研究
發(fā)布時(shí)間：2018-08-14 13:53
【摘要】：視頻如今已經(jīng)走入每個(gè)人的日常生活中,成為不可缺少的一部分,并且隨著人們感官要求越來越高,高清視頻、3D視頻逐漸成為市場(chǎng)主流,然而高質(zhì)量的視頻也需要更大的存儲(chǔ)空間和傳輸帶寬。近年來國際通用壓縮標(biāo)準(zhǔn)MPEG-4、H.264、HEVC等,利用視頻圖像的相關(guān)性去除其中的冗余信息,我國自主研發(fā)的第二代音視頻標(biāo)準(zhǔn)AVS2幾乎與國際標(biāo)準(zhǔn)HEVC壓縮效果相當(dāng),同時(shí)3D-AVS標(biāo)準(zhǔn)于2014年完成,供大家對(duì)3D視頻的壓縮進(jìn)行研究。本文就當(dāng)前存在的傳統(tǒng)視頻和多視點(diǎn)視頻技術(shù)分別做了研究。在傳統(tǒng)視頻方面,針對(duì)國際視頻編碼標(biāo)準(zhǔn)HEVC的幀內(nèi)預(yù)測(cè)部分,提出兩個(gè)幀內(nèi)預(yù)測(cè)算法;在多視點(diǎn)視頻方面,針對(duì)國內(nèi)的3D視頻編碼標(biāo)準(zhǔn)3D-AVS,提出了一個(gè)關(guān)于視差矢量的獲取方案,主要工作分為以下三個(gè)部分。第一部分提出了基于馬爾科夫模型梯度自適應(yīng)幀內(nèi)預(yù)測(cè)算法,該算法將馬爾科夫模型與梯度自適應(yīng)算法相結(jié)合,提升了幀內(nèi)預(yù)測(cè)部分的性能。該算法在HEVC參考軟件HM16.0基礎(chǔ)上實(shí)現(xiàn),實(shí)驗(yàn)結(jié)果顯示,亮度分量的平均BDrate減少1.0%,兩個(gè)色度分量的平均BD-rate減少1.2%和1.3%。第二部分提出了基于PDPC(Position dependent intra prediction combination)的梯度自適應(yīng)幀內(nèi)預(yù)測(cè)算法,參考了視頻編碼聯(lián)合工作組正在研究的下一代視頻編碼技術(shù)中的PDPC幀內(nèi)預(yù)測(cè)算法,在此基礎(chǔ)上,充分利用了當(dāng)前像素與周圍像素的相關(guān)性。實(shí)驗(yàn)在HEVC參考軟件JEM-2.0平臺(tái)上實(shí)現(xiàn),相比于JEM-2.0,亮度分量的平均BD-rate減少0.2%,兩個(gè)色度分量的平均BD-rate減少0.4%。第三部分針對(duì)多視點(diǎn)視頻,提出了基于時(shí)域和空域的局部視差矢量獲取算法,該算法在原有全局視差矢量獲取算法和局部視差矢量獲取算法的基礎(chǔ)上,同時(shí)考慮了時(shí)域參考幀和當(dāng)前幀的局部自適應(yīng)相鄰區(qū)域的視差矢量。該算法在3D-AVS參考軟件RFD8.0平臺(tái)上實(shí)現(xiàn),實(shí)驗(yàn)結(jié)果顯示,相比于RFD8.0,在LDP配置下合成視點(diǎn)的平均BD-rate減少約0.12%。本文提出的三個(gè)算法都取得了較好的實(shí)驗(yàn)結(jié)果,相比于原有視頻編碼標(biāo)準(zhǔn)和現(xiàn)階段該領(lǐng)域的相關(guān)算法都有一定的性能增益。
[Abstract]:Nowadays, video has become an indispensable part of everyone's daily life, and as people's senses become more and more demanding, high-definition video / 3D video has gradually become the mainstream of the market. However, high-quality video also needs more storage space and transmission bandwidth. In recent years, the international general compression standard MPEG-4 / H.264 / HEVC and so on, using the correlation of video image to remove the redundant information, the second generation audio and video standard AVS2 developed by our country is almost equal to the international standard HEVC compression effect, and the 3D-AVS standard was completed in 2014. For everyone to study the compression of 3D video. In this paper, the existing traditional video and multi-view video technology are studied. In the traditional video aspect, two intra prediction algorithms are proposed for the intra prediction part of the international video coding standard (HEVC), and a scheme for acquiring parallax vectors is proposed for the 3D video coding standard 3D-AVS, which is a domestic standard of 3D video coding. The main work is divided into the following three parts. In the first part, a gradient adaptive intra prediction algorithm based on Markov model is proposed, which combines Markov model with gradient adaptive algorithm to improve the performance of intra prediction. The algorithm is implemented on the basis of HEVC reference software HM16.0. The experimental results show that the average BDrate of the luminance component is reduced by 1.0%, the average BD-rate of the two chrominance components is reduced by 1.2% and 1.3%. In the second part, a gradient adaptive intra prediction algorithm based on PDPC (Position dependent intra prediction combination) is proposed, which refers to the PDPC intra prediction algorithm in the next generation video coding technology which is being studied by the Joint Video coding working Group. Make full use of the correlation between the current pixel and the surrounding pixel. The experiment is implemented on the HEVC reference software JEM-2.0 platform. Compared with JEM-2.0, the average BD-rate of the luminance component is 0.2 and the average BD-rate of the two chrominance components is 0.4. In the third part, a local parallax vector acquisition algorithm based on time domain and spatial domain is proposed for multi-view video. The algorithm is based on the original global parallax vector acquisition algorithm and local parallax vector acquisition algorithm. The parallax vectors of the local adaptive adjacent regions of the time domain reference frame and the current frame are also considered. The algorithm is implemented on the 3D-AVS reference software RFD8.0 platform. The experimental results show that the average BD-rate of the composite viewpoint in LDP configuration is about 0.12% less than that of RFD8.0. The three algorithms presented in this paper have achieved good experimental results, and have a certain performance gain compared with the original video coding standards and the current related algorithms in this field.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP391.41
本文編號(hào)：2183069
[Abstract]:Nowadays, video has become an indispensable part of everyone's daily life, and as people's senses become more and more demanding, high-definition video / 3D video has gradually become the mainstream of the market. However, high-quality video also needs more storage space and transmission bandwidth. In recent years, the international general compression standard MPEG-4 / H.264 / HEVC and so on, using the correlation of video image to remove the redundant information, the second generation audio and video standard AVS2 developed by our country is almost equal to the international standard HEVC compression effect, and the 3D-AVS standard was completed in 2014. For everyone to study the compression of 3D video. In this paper, the existing traditional video and multi-view video technology are studied. In the traditional video aspect, two intra prediction algorithms are proposed for the intra prediction part of the international video coding standard (HEVC), and a scheme for acquiring parallax vectors is proposed for the 3D video coding standard 3D-AVS, which is a domestic standard of 3D video coding. The main work is divided into the following three parts. In the first part, a gradient adaptive intra prediction algorithm based on Markov model is proposed, which combines Markov model with gradient adaptive algorithm to improve the performance of intra prediction. The algorithm is implemented on the basis of HEVC reference software HM16.0. The experimental results show that the average BDrate of the luminance component is reduced by 1.0%, the average BD-rate of the two chrominance components is reduced by 1.2% and 1.3%. In the second part, a gradient adaptive intra prediction algorithm based on PDPC (Position dependent intra prediction combination) is proposed, which refers to the PDPC intra prediction algorithm in the next generation video coding technology which is being studied by the Joint Video coding working Group. Make full use of the correlation between the current pixel and the surrounding pixel. The experiment is implemented on the HEVC reference software JEM-2.0 platform. Compared with JEM-2.0, the average BD-rate of the luminance component is 0.2 and the average BD-rate of the two chrominance components is 0.4. In the third part, a local parallax vector acquisition algorithm based on time domain and spatial domain is proposed for multi-view video. The algorithm is based on the original global parallax vector acquisition algorithm and local parallax vector acquisition algorithm. The parallax vectors of the local adaptive adjacent regions of the time domain reference frame and the current frame are also considered. The algorithm is implemented on the 3D-AVS reference software RFD8.0 platform. The experimental results show that the average BD-rate of the composite viewpoint in LDP configuration is about 0.12% less than that of RFD8.0. The three algorithms presented in this paper have achieved good experimental results, and have a certain performance gain compared with the original video coding standards and the current related algorithms in this field.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP391.41
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