Abstract
High efficiency video coding (HEVC) has demonstrated a notable increase in compression performance and is taken as a successor to H.264/AVC. Efficient bit rate adaptation algorithms are required to contain the HEVC standard between real life community facilities. A present issue of bit rate transcoding is its high computational complexity which is related with the encoder of a cascaded pixel domain transcoder. This paper gives Top to Bottom (T2B) approach to reduce complexity by using different complexity schemes. Proposed approach is effective in reducing complexity in Coding Unit (CU) optimization level. Coding Unit has been analyzed in T2B Approach. While examining the coding unit information of the input video is turned to account for decreasing the number of evaluation and early terminate the process. For the Prediction Unit (PU) level the units are powerfully chosen contingent upon likelihood of Prediction Unit sizes and co-found input prediction partitioning. By utilizing this approach, complexity scalable bit rate transcoding has achieved. Machine learning approach can be used to control computational complexity. Additionally, the T2B strategy is able to gain a spread on trade-offs in transrating complexity and coding performance. Using T2B approach 15% encoding time saving is accomplished. From this scheme, for the less resolution video 27% time saving has achieved.
Highlights
High efficiency video coding (HEVC) is the latest standard which is developed by the Video Coding Expert Group (VCEG) and the Moving Picture Expert Group (MPEG)
Heterogeneous transcoding based on dynamic thresholding and content modeling is given, where we utilize the co-relation in between input and output video information, and by using information we convert H.264 to HEVC [12]
Results are calculated to provide answers to the following questions .How much time required for the frame splitting? How much time required for the encoding the frame? The simulation is performed on 10 frames of each video sequence, which has different resolution and bit rate
Summary
HEVC is the latest standard which is developed by the Video Coding Expert Group (VCEG) and the Moving Picture Expert Group (MPEG). The difference between encoder and decoder causes drift This drift can be reduced by employing closed loop cascaded pixel domain transcoder. In this transcoder bitstream is initially decoded and further encoded to match the receiver bit rate. Encoded signal can be recovered back by using decoder In another option of requantization dynamic rate shaping removes high frequency coefficients. The handiness of an open-circle transcoder is its less intricacy, the drift influences yields in visual quality misfortunes as a result of the error propagation This drift can be downsize in a closed-loop cascaded pixel domain transcoder where the video bitstream is decoded and re encoded to coordinate the objective bit rate [3].
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