A wavelet based algorithm for scalable video compression is described, with the main focus put on memory bandwidth reduction and efficient VLSI implementation. The proposed algorithm adopts a modified 2-D subband decomposition scheme in conjunction with a partial zerotree search for efficient Embedded Zerotree Wavelet coding. The experiment with the performance of the proposed algorithm in comparison with that of conventional DWT, MPEG-2, and JPEG demonstrates that the image quality of the proposed algorithm is consistently superior to that of JPEG, and our scheme can even outperform MPEG-2 in some cases, although it does not exploit the inter-frame redundancy. In spite of the performance inferiority to the conventional DWT, the proposed algorithm attains significant reduction of DWT memory requirements, enhancing a reasonable balance between implementation cost and image quality.

Since a human object is an important element of the moving pictures being processed by mobile terminals, establishing a human object extraction method encourages dissemination of new applications. In accordance with the requirement of mobile applications, this paper proposes a low-cost human object extraction method, which consists of a face object and a hair object extraction based on their color information and a simple body extraction utilizing the position information of the face object. In the proposed method, skin color and hair color are estimated through color space segmentation, and a human object is effectively extracted by using a radial active contour model. Simulation results of the human object extraction with the use of XScale processor claims that QCIF 15 fps video sequences can be processed in real time.

Scalable high efficiency video coding (SHVC) can provide variable video quality according to terminal devices. However, the computational complexity of SHVC is increased by introducing new techniques based on high efficiency video coding (HEVC). In this paper, a hardware oriented low complexity algorithm is proposed. The hardware oriented proposals have two key points. Firstly, the coding unit depth is determined by analyzing the boundary correlation between coding units before encoding process starts. Secondly, the redundant calculation of R-D optimization is reduced by adaptively using the information of the neighboring coding units and the co-located units in the base layer. The simulation results show that the proposed algorithm can achieve over 62% computation complexity reduction compared to the original SHM11.0. Compared with other related work, over 11% time saving have been achieved without PSNR loss. Furthermore, the proposed algorithm is hardware friendly which can be implemented in a small area.

A VLSI architecture of a motion estimator is described dedicatedly for the H. 263 low bitrate video coding. Adopting an efficient hierarchical search algorithm, a new motion estimator yields high quality vectors with small area occupancy and at a low operation frequency. A one-dimensional PE (Processing Element) array is devised to be tuned to the H. 263 encoding, which treats both the advanced prediction mode and the PB-frame mode. The proposed motion estimation core is integrated in 1. 55 mm2 by using 0. 35 µm CMOS 3LM technology, which operates at 15 MHz, and hence enables the realtime motion estimation of QCIF pictures.

This paper describes a new approach to the digital watermarking of motion pictures dedicatedly for the MPEG-4 video coding, which intends to enhance the error detection ability. The conventional method lacks not only the detection ability but also the compatibility with video decoders widely used today. Thus in this approach the digital watermarks are to be embedded into the quantized DCT (Discrete Cosine Transform) coefficients for the error detection, where the prevention of the picture quality degradation is also attempted. Experimental results are shown to demonstrate that the error detection ability of the proposed approach is significantly improved, as compared with that of the conventional method, and that the degradation of the picture quality by the watermarking is extremely small.

A single chip motion estimator is described dedicatedly for MPEG2 MP＠HL moving pictures. Adopting a two-level hierarchical searching algorithm in detecting motion vectors, the computational labor can be reduced by 1/70 in comparison with the conventional algorithm. A novel mechanism is introduced into the full-search procedure, which attempts the maximum possible reuse of reference pixels in order to reduce the bandwidth of the frame memory interface. The proposed motion estimator is integrated in a 0.6 µm triple-metal CMOS chip, which contains 1,450 K transistors on a 12.713.7 mm2 die. The input clock rate can be attained up to 133 MHz, which enables the real time motion estimation for MPEG2 MP＠HL.