High efficiency coding for surveillance videos based on selective based fast intra coding

Autor: Upena D. Dalal, Swati Vinod Sakhare
Rok vydání: 2020
Předmět:
Zdroj: Multimedia Tools and Applications. 79:14079-14101
ISSN: 1573-7721
1380-7501
DOI: 10.1007/s11042-019-08426-y
Popis: HEVC, the successor of popular H.264 video compression standard targets the new era of ultra high-resolution videos with higher frame rates. Lossless coding mode of high-efficiency video coding (HEVC) relies on efficient intra prediction methods for achieving higher compression. In this paper, we propose a method called selective based intra prediction (SBIP) which is a combination of Block based intra prediction (BP) and Boundary region based SAP (BRSAP) for surveillance videos. First, we calculate the threshold complexity for the block and based on the condition the CU early termination is done. Then, we calculate a prediction for each block by using the BP and BRSAP method separately. After calculating both the prediction based on some condition the final prediction of the block is performed which selects the best prediction for each pixel to reduce the residual energy thereby increasing the coding efficiency. At last, the transform, quantization, and entropy coding are performed to compress the input video signal. The experimental results are conducted for surveillance videos test sequences for 30 frames from each test sequence. The results are evaluated based on encoding time and peak signal to noise ratio (PSNR).
Databáze: OpenAIRE
Externí odkaz: