A signal adaptive diffusion filter for video coding: Mathematical framework and complexity reductions

In this paper we combine video compression and modern image processing methods. We construct novel iterative filter methods for prediction signals based on Partial Differential Equation (PDE) based methods. The mathematical framework of the employed diffusion filter class is given and some desirable properties are stated. In particular, two types of diffusion filters are constructed: a uniform diffusion filter using a fixed filter mask and a signal adaptive diffusion filter that incorporates the structures of the underlying prediction signal. The latter has the advantage of not attenuating existing edges while the uniform filter is less complex. The filters are embedded into a software based on HEVC with additional QTBT (Quadtree plus Binary Tree) and MTT (Multi-Type-Tree) block structure. In this setting, several measures to reduce the coding complexity of the tool are introduced, discussed and tested thoroughly. The coding complexity is reduced by up to 70% while maintaining over 80% of the gain. Overall, the diffusion filter method achieves average bitrate savings of 2.27% for Random Access having an average encoder runtime complexity of 119% and 117% decoder runtime complexity. For individual test sequences, results of 7.36% for Random Access are accomplished.     

Graph-based video fingerprinting using double optimal projection

A double optimal projection method that involves projections for intra-cluster and inter-cluster dimensionality reduction are proposed for video fingerprinting. The video is initially set as a graph with frames as its vertices in a high-dimensional space. A similarity measure that can compute the weights of the edges is then proposed. Subsequently, the video frames are partitioned into different clusters based on the graph model. Double optimal projection is used to explore the optimal mapping points in a low-dimensional space to reduce the video dimensions. The statistics and geometrical fingerprints are generated to determine whether a query video is copied from one of the videos in the database. During matching, the video can be roughly matched by utilizing the statistics fingerprint. Further matching is thereafter performed in the corresponding group using geometrical fingerprints. Experimental results show the good performance of the proposed video fingerprinting method in robustness and discrimination.     

基于VW2010芯片的嵌入式多媒体监控系统压缩/解压卡设计

在简要分析了多媒体监控系统发展现状的基础上，提出了一种基于VW2010压缩／解压芯片的多媒体压缩／解压卡的设计方案，给出了基于VW2010的多媒体监控系统压缩和解压卡的硬件结构图以及在Linux系统下VW2010的驱动程序，同时给出了在Linux Redhat7．3下编写的测试程序，并进行了全面的测试。     

Threshold‐Based Camera Motion Characterization of MPEG Video

We propose an efficient scheme for camera motion characterization in MPEG‐compressed video. The proposed scheme detects six types of basic camera motions through threshold‐based qualitative interpretation, in which fixed thresholds are applied to motion model parameters estimated from MPEG motion vectors (MVs). The efficiency and robustness of the scheme are validated by the experiment with real compressed video sequences.     

运动估计块匹配两级搜索算法

根据视频图像相邻块在空间上具有很大的相关性,吸收了矢量预测块匹配的核心思想,提出一种两级块匹配运动估计算法,在第一级中,首先根据矢量预测确定一个小区域,然后在此区域内进行快速搜索,如果在第一级中没有搜索到匹配块则进行第二级搜索,该算法可大大提高搜索速度.     

网格技术在广播电视中的应用

网格是继Internet和Web技术之后的第三个信息技术浪潮。简述了网格的定义、特点和基本体系结构 ,并且分析了网格技术在广播电视中的应用     

MPEG-4自然视频编码技术

对MPEG－4自然视频编码的关键技术作了详细的分析和阐述。首先介绍MPEG－4频语法结构，并对视频编码的框架概要分析。接着分析了自然视频编码中涉及到的关键技术，包括：VOP的产生；二值和灰度级α平面的编码技术；运动估计和补偿方法；纹理编码；基于对象的时间分级和空间分级；MPEG－4提供的再同步和各种错误掩盖，刷新方法，精 编码技术和零树小波基的静止图像编码技术。指出MPEG－4和MPEG－1，MPEG－2等标准的异同，突出MPEG－4的三个主要特点。最后给出MPEG－4技术在网络视频传输中的应用，并给出测试和分析。     

一机多控视频点播系统

介绍一种自行设计、开发的一机多控视频点播系统，讲述了系统组成及设计方案，它具有服务功能多，操作方便、性能价格比高等特点。     

一种数字解码卫星电视接收机的原理分析

分析了一种数字解码卫星电视接收机，该机能接收利用ＭＰＥＧ－２进行数据压缩，采用ＳＣＰＣ或ＭＣＰＣ方式上星的卫星电视信号，具有选单显示，断电现场保护等功能。并对该机进行了原理分析，对主要集成电路的基本原理也作了简介，并给出了软件的部分主要流程及功能分析。     

AAL层抗信元丢失技术

ＡＴＭ网络中传输视频信号存在的信元丢失会严重影响接收图象的质量，可以从视频编解码端与ＡＴＭ适配层采取抗信元丢失技术以减少该影响。不同ＡＡＬ有不同的抗信元丢失原理。本文分别对用ＡＡＬ１，ＡＡＬ２，ＡＡＬ５适配ＭＰＥＧ－２视频信号时在ＡＡＬ层采取的抗信元丢失技术进行了分析。