计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2015年
18期
156-160
,共5页
视频编码%纹理合成%视觉显著度
視頻編碼%紋理閤成%視覺顯著度
시빈편마%문리합성%시각현저도
video coding%texture synthesis%visual saliency
针对现有基于纹理分析合成的视频编码方法难以对纹理实现自动分割的问题,提出基于纹理合成和视觉显著度的视频编码方法,将编码可移除的纹理宏块定义为宏块内图像信息包含在周围宏块中的宏块,被移除宏块移除后,能够使用周围宏块信息进行重建,同时,为了保证重建图像的主观质量,对视觉显著的图像区域,强制地不被标记为纹理移除块。在解码端,采用了全局运动补偿和纹理优化的组合方式对纹理移除宏块进行重建,以确保连续帧之间的纹理时空一致性。与H.264/AVC编码方法相比,在相同主观质量的情况下,本编码方法能够降低码率5%到20%,与Njiki-Nya Patrick等人提出的基于纹理分析合成的编码方法相比,本编码方法不但能够实现自动的纹理提取,在低码率端,编码效率提高一倍以上。
針對現有基于紋理分析閤成的視頻編碼方法難以對紋理實現自動分割的問題,提齣基于紋理閤成和視覺顯著度的視頻編碼方法,將編碼可移除的紋理宏塊定義為宏塊內圖像信息包含在週圍宏塊中的宏塊,被移除宏塊移除後,能夠使用週圍宏塊信息進行重建,同時,為瞭保證重建圖像的主觀質量,對視覺顯著的圖像區域,彊製地不被標記為紋理移除塊。在解碼耑,採用瞭全跼運動補償和紋理優化的組閤方式對紋理移除宏塊進行重建,以確保連續幀之間的紋理時空一緻性。與H.264/AVC編碼方法相比,在相同主觀質量的情況下,本編碼方法能夠降低碼率5%到20%,與Njiki-Nya Patrick等人提齣的基于紋理分析閤成的編碼方法相比,本編碼方法不但能夠實現自動的紋理提取,在低碼率耑,編碼效率提高一倍以上。
침대현유기우문리분석합성적시빈편마방법난이대문리실현자동분할적문제,제출기우문리합성화시각현저도적시빈편마방법,장편마가이제적문리굉괴정의위굉괴내도상신식포함재주위굉괴중적굉괴,피이제굉괴이제후,능구사용주위굉괴신식진행중건,동시,위료보증중건도상적주관질량,대시각현저적도상구역,강제지불피표기위문리이제괴。재해마단,채용료전국운동보상화문리우화적조합방식대문리이제굉괴진행중건,이학보련속정지간적문리시공일치성。여H.264/AVC편마방법상비,재상동주관질량적정황하,본편마방법능구강저마솔5%도20%,여Njiki-Nya Patrick등인제출적기우문리분석합성적편마방법상비,본편마방법불단능구실현자동적문리제취,재저마솔단,편마효솔제고일배이상。
To solve the problem of disability to extract texture regions in an automatic manner for video coding based on texture analysis and synthesis, video coding with texture synthesis and visual saliency is proposed. In the novel method, texture macroblock for removing is defined as the one with its information contained in the neighboring macroblocks, with the purpose of bringing capability of reconstructing the removed macroblocks from the neighboring ones. Mean-while, to maintain visual quality of synthesized video, visual saliency model is introduced in texture macroblock extraction process to avoid removing visually salient image regions. In decoder side, the combination of global motion compensation and texture optimization is applied to synthesize the removed texture macroblocks, aiming to ensure good spatial and tem-poral consistency between consecutive frames. Compared with H.264/AVC, a rate-saving of 5%~20% can be achieved at the same subjective quality. This method can also outperform the method proposed by Njiki-Nya Patrick by two times at the side of low rate.