IEEE Trans Image Process - Optimizing the hierarchical prediction and coding in HEVC for surveillance and conference videos with background modeling.

Tópicos

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Resumo

For the real-time and low-delay video surveillance and teleconferencing applications, the newly video coding standard HEVC can achieve much higher coding efficiency over H.264/AVC. However, we still argue that the hierarchical prediction structure in the HEVC low-delay encoder still does not fully utilize the special characteristics of surveillance and conference videos that are usually captured by stationary cameras. In this case, the background picture (G-picture), which is modeled from the original input frames, can be used to further improve the HEVC low-delay coding efficiency meanwhile reducing the complexity. Therefore, we propose an optimization method for the hierarchical prediction and coding in HEVC for these videos with background modeling. First, several experimental and theoretical analyses are conducted on how to utilize the G-picture to optimize the hierarchical prediction structure and hierarchical quantization. Following these results, we propose to encode the G-picture as the long-term reference frame to improve the background prediction, and then present a G-picture-based bit-allocation algorithm to increase the coding efficiency. Meanwhile, according to the proportions of background and foreground pixels in coding units (CUs), an adaptive speed-up algorithm is developed to classify each CU into different categories and then adopt different speed-up strategies to reduce the encoding complexity. To evaluate the performance, extensive experiments are performed on the HEVC test model. Results show our method can averagely save 39.09% bits and reduce the encoding complexity by 43.63% on surveillance videos, whereas those are 5.27% and 43.68% on conference videos.

Resumo Limpo

realtim lowdelay video surveil teleconferenc applic newli video code standard hevc can achiev much higher code effici havc howev still argu hierarch predict structur hevc lowdelay encod still fulli util special characterist surveil confer video usual captur stationari camera case background pictur gpictur model origin input frame can use improv hevc lowdelay code effici meanwhil reduc complex therefor propos optim method hierarch predict code hevc video background model first sever experiment theoret analys conduct util gpictur optim hierarch predict structur hierarch quantiz follow result propos encod gpictur longterm refer frame improv background predict present gpicturebas bitalloc algorithm increas code effici meanwhil accord proport background foreground pixel code unit cus adapt speedup algorithm develop classifi cu differ categori adopt differ speedup strategi reduc encod complex evalu perform extens experi perform hevc test model result show method can averag save bit reduc encod complex surveil video wherea confer video

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