Low bit-rate coding of image sequences using adaptive regions of interest

被引：0

作者：

Lu, H ^{[1
]}

机构：

[1] Guangzhou Cable Televis Broadcast, Guangzhou, Peoples R China

来源：

PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON COMPUTER AIDED DESIGN & COMPUTER GRAPHICS | 1999年

关键词：

low bit-rate coding; MC-DCT-based coding schemes; neural networks; region of interest;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

An adaptive algorithm for extracting foreground objects om background in videophone or videoconference applications is presented in this paper The algorithm uses a neural network architecture that classifies the video frames in regions-of-interest (ROI) and non-ROI areas, also being able to automatically adapt its performance to scene changes. The algorithm is incorporated in motion-compensation discrete cosine transform (MC-DCT) - based coding schemes, allocating more bits to ROI than to non-ROI areas. Simulation results presented, using the Claire and Trevor sequences, which show reconstructed images of better quality, as well as signal-to-noise ratio improvements of about 1.4dB, compared to those achieved by standard MC-DCT encoders.

引用

页码：1334 / 1340

页数：3