一种基于内容的压缩域图像检索系统的开发
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摘要
摘 要
近年来，信息网络的高速发展和多媒体业务的普及极大地改变了人类自身
的生产、生活方式，人们对多媒体信息业务的需求促使新的多媒体业务的开发
成为当前信息领域的热点。图像数据海量、无序等特点决定了大部分图像信息
业务的构建都必须解决图像数据的高效压缩和有效检索两个关键问题。目前图
像的高效压缩已经取得了长足发展，图像普遍以压缩格式存在，为了进一步加
速图像信息的检索过程，基于压缩域的图像/视频检索技术的研究受到了人们的
关注，压缩域基于内容的图像检索系统的开发也引起了广泛的重视。
本论文通过对影响图像检索性能的多个关键技术的研究，基于 VB6.0 和数
据库 SQL Server 2000 开发了一套压缩域基于内容的图像检索系统。主要工作包
括：
1．讨论了目前典型的几个原型系统，并从用户的角度出发，通过对目前图
像检索系统基本框架结构的分析，设计了一个界面友好、能够对图像数据库进
行有效管理且灵活、安全的图像检索系统；
2．提出了一种用于提高图像检索精度的，基于自适应最优特征维的相关反
馈算法，使检索趋势能够按照不同用户的意志自适应改变；
3．讨论了多种用于提高图像检索响应速度的高维索引关键技术，并结合不
同树的优点，提出了一种混合树算法，改进了图像的检索响应速度；
4．针对图像上传和入库工作的复杂性，提出类模块式入库的方案，通过实
验对其可行性和有效性进行了讨论。
With the booming of digitized information and network, the patterns of
production and life of human beings have been changed dramatically due to the rapid
development of information network and multimedia applications. The increasing
need for multimedia information has made the development of new network-based
multimedia applications become one of the hottest subjects in the field of
information technology. Due to the enormous and unstructured multimedia data,
solutions must be provided for their effective compression and efficient indexing in
order to realize all kinds of multimedia applications. Recently, effective compression
technique has substantially developed and images exist widely in compressed format.
To make fast retrieval, indexing techniques of image/video data in
compressed-domain have witnessed a booming interest. And people attach
importance to the research and development of content-based image retrieval system
in compressed-domain extensively.
This paper discusses several key techniques which influence image retrieval
performance and develops a new content-based image retrieval system in compressed-
domain based on VB6.0 and database SQL Server 2000.The major contents are:
1. Some current typical contented-based image retrieval systems are reviewed.
Based on the structure analysis of these systems, this paper presents a flexible and
safe system with a friendly user interface and which can provide efficient image
database management.
2. A novel relevance feedback algorithm using the optimal feature components
adaptive extraction is put forward. Retrieval results can be changed with different
users.
3. A new compound high-dimension indexing method is constructed by taking
advantage of some other high-dimension techniques. Simulation results show the
efficiency of the method.
4. A model method according to the complexity of uploading and downloading
images and features is proposed whose feasibility and efficiency are verified.
近年来，信息网络的高速发展和多媒体业务的普及极大地改变了人类自身
的生产、生活方式，人们对多媒体信息业务的需求促使新的多媒体业务的开发
成为当前信息领域的热点。图像数据海量、无序等特点决定了大部分图像信息
业务的构建都必须解决图像数据的高效压缩和有效检索两个关键问题。目前图
像的高效压缩已经取得了长足发展，图像普遍以压缩格式存在，为了进一步加
速图像信息的检索过程，基于压缩域的图像/视频检索技术的研究受到了人们的
关注，压缩域基于内容的图像检索系统的开发也引起了广泛的重视。
本论文通过对影响图像检索性能的多个关键技术的研究，基于 VB6.0 和数
据库 SQL Server 2000 开发了一套压缩域基于内容的图像检索系统。主要工作包
括：
1．讨论了目前典型的几个原型系统，并从用户的角度出发，通过对目前图
像检索系统基本框架结构的分析，设计了一个界面友好、能够对图像数据库进
行有效管理且灵活、安全的图像检索系统；
2．提出了一种用于提高图像检索精度的，基于自适应最优特征维的相关反
馈算法，使检索趋势能够按照不同用户的意志自适应改变；
3．讨论了多种用于提高图像检索响应速度的高维索引关键技术，并结合不
同树的优点，提出了一种混合树算法，改进了图像的检索响应速度；
4．针对图像上传和入库工作的复杂性，提出类模块式入库的方案，通过实
验对其可行性和有效性进行了讨论。
With the booming of digitized information and network, the patterns of
production and life of human beings have been changed dramatically due to the rapid
development of information network and multimedia applications. The increasing
need for multimedia information has made the development of new network-based
multimedia applications become one of the hottest subjects in the field of
information technology. Due to the enormous and unstructured multimedia data,
solutions must be provided for their effective compression and efficient indexing in
order to realize all kinds of multimedia applications. Recently, effective compression
technique has substantially developed and images exist widely in compressed format.
To make fast retrieval, indexing techniques of image/video data in
compressed-domain have witnessed a booming interest. And people attach
importance to the research and development of content-based image retrieval system
in compressed-domain extensively.
This paper discusses several key techniques which influence image retrieval
performance and develops a new content-based image retrieval system in compressed-
domain based on VB6.0 and database SQL Server 2000.The major contents are:
1. Some current typical contented-based image retrieval systems are reviewed.
Based on the structure analysis of these systems, this paper presents a flexible and
safe system with a friendly user interface and which can provide efficient image
database management.
2. A novel relevance feedback algorithm using the optimal feature components
adaptive extraction is put forward. Retrieval results can be changed with different
users.
3. A new compound high-dimension indexing method is constructed by taking
advantage of some other high-dimension techniques. Simulation results show the
efficiency of the method.
4. A model method according to the complexity of uploading and downloading
images and features is proposed whose feasibility and efficiency are verified.
引文
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1 何立民, 万跃华. 数字图书馆中基于内容的图像检索技术. 现代图书情报技术, 2002,
年刊, (93): 26~36
2 黄祥林. 基于压缩域的图像检索技术初步研究. 北京工业大学博士毕业论文, 2001
3 李向阳, 庄越挺, 潘云鹤. 基于内容的图像检索技术与系统. 计算机研究与发展, 2001,
38(3):344~354
4 魏海, 沈兰荪. 小波变换域内基于方向梯度相角直方图的图像检索算法. 电路与系统
学报, 2001, 6(2): 20~24
5 魏海, 沈兰荪, 李晓华. 基于迭代分形的图像压缩和检索方法. 中国图象图形学报，
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