No abstract

High Efficiency Video Coding (HEVC) has been developed as the newest video coding standard which achieves the goal of 50% bit-rate reduction with similar video quality compared to the previous standard, H.264/AVC. In order to achieve this improved coding performance, HEVC adopts various advanced techniques, which require heavy encoding complexity. Similar to the previous video coding standards, HEVC has the most computational complexity to perform motion estimation of inter prediction process. Proposed method can select one inter prediction mode and perform the motion estimation only on the selected inter prediction mode. Experimental results show that the prosed method reduces the computational complexity while minimizing the coding loss.

A novel fast algorithm is suggested for a coding unit (CU) mode decision using pseudo rate‐distortion based on a separated encoding structure in High Efficiency Video Coding (HEVC). A conventional HEVC encoder requires a large computational time for a CU mode prediction because prediction and transformation procedures are applied to obtain a rate‐distortion cost. Hence, for the practical application of HEVC encoding, it is necessary to significantly reduce the computational time of CU mode prediction. As described in this paper, under the proposed separated encoder structure, it is possible to decide the CU prediction mode without a full processing of the prediction and transformation to obtain a rate‐distortion cost based on a suitable condition. Furthermore, to construct a suitable condition to improve the encoding speed, we employ a pseudo rate‐distortion estimation based on a Hadamard transformation and a simple quantization. The experimental results show that the proposed method achieves a 38.68% reduction in the total encoding time with a similar coding performance to that of the HEVC reference model.

In this paper, we propose a fast mode decision algorithm using a filter bank of Kalman filters for H.264/ AVC. For the highest coding efficiency in H.264/AVC, a macroblock can be coded with seven different block sizes for motion compensation in an inter mode and various spatial prediction modes in an intra mode. The conventional encoder employs a complex technique for mode decision based on a rate-distortion (RD) cost of all possible modes. Hence, for the purpose of selecting the best block mode with the minimum RD cost, the conventional procedure requires much computational burden and a very complex encoding structure. In order to reduce the complexity, we propose a fast algorithm for mode decision based on Kalman filtering to estimate RD cost of a specific block mode. Furthermore, we propose an optimized structure of H.264/AVC encoder to implement the proposed algorithm. Without considerable performance degradation, using SIMD technology, the computer simulation shows that the proposed methods are dramatically faster than the original JM 9.6 encoder.

This paper describes the design and implementation of multimedia data processing elements for a home sewer platform. Generally, a home sewer can be considered as an integrated form of a multimedia data sewer, home control sewer, and home information sewer. As a multimedia data sewer, the proposed scheme has a digital TV receiver module and a multimedia codec module. Thus, watching digital TV and remote multimedia sewices are available in this platform. In addition, an error resilient scheme using digital watermarking is implemented to correct transmission errors in a noisy channel'.