Abstract
The Multi-View extension of High Efficiency Video Coding (MV-HEVC) has improved the coding efficiency of multi-view videos, but this comes at the cost of the extra coding complexity of the MV-HEVC encoder. This coding complexity can be reduced by efficiently reducing time-consuming encoding operations. In this work, we propose two methods to reduce the encoder complexity. The first one is Early Coding unit Splitting (ECS), and the second is the Efficient Reference Picture Selection (ERPS) method. In the ECS method, the decision of Coding Unit (CU) splitting for dependent views is made on the CU splitting information obtained from the base view, while the ERPS method for dependent views is based on selecting reference pictures on the basis of the temporal location of the picture being encoded. Simulation results reveal that our proposed methods approximately reduce the encoding time by 58% when compared with HTM (16.2), the reference encoder for MV-HEVC.
Highlights
High Efficiency Video Coding (HEVC) is the latest video compression standard, introduced in2013
We propose an Early Coding Unit (CUs) Splitting (ECS) method, which is based on Coding Unit (CU) splitting information available from the base view
We present an Efficient Reference Picture Selection (ERPS) method, in which we avoid the pictures in the reference pictures’ list, which are least probable for prediction
Summary
High Efficiency Video Coding (HEVC) is the latest video compression standard, introduced in2013. As video is a sequence of frames/pictures being displayed at a certain frequency, there is a high similarity between the pictures and within a picture in video data. Utilizing these characteristics of the video data, compression algorithms have been developed [3]. Video data in compressed form are sent over the network, and the receiver has to decode the compressed data to get the original video. Both the sender and receiver need to agree upon an encoding algorithm.
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