Abstract
High Efficient Video Coding (HEVC) is the most recent video coding standard developed for efficient compression of high definition videos. It adapts a quad tree based coding tree structure in which each frame is represented as coding tree blocks (CTB). It uses only half of the bandwidth when compared with H.264/AVC. Though it achieves high coding efficiency, it suffers from problems such as high computational complexity and large computation time. In this paper we propose an edge detection based encoding algorithm using sobel operator for coding unit depth decision. Thus the computational complexity and the computational time are reduced considerably. The experimental results showed that using this method, when compared to HEVC standard the encoding time reduces by 30% without significant loss of coding efficiency and PSNR.
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Choubey, A., Choubey, S.B., Pachori, K. (2019). Object Detection Using Higher Quality Optimization Techniques in Video Encoders. In: Saini, H., Singh, R., Kumar, G., Rather, G., Santhi, K. (eds) Innovations in Electronics and Communication Engineering. Lecture Notes in Networks and Systems, vol 65. Springer, Singapore. https://doi.org/10.1007/978-981-13-3765-9_31
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DOI: https://doi.org/10.1007/978-981-13-3765-9_31
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