检索结果-内蒙古大学图书馆

storage and retrieval for image and video databases VI Conference

作者： Androutsos, D Plataniotis, KN Venetsanopoulos, AN Univ Toronto Dept Elect & Comp Engn Digital Signal & Image Proc Lab Toronto ON M5S 3G4 Canada

ISBN: (纸本)0819427527

We present a technique for indexing the directional detail and smoothness present in an image. By directional detail we imply strong directional activity in the horizontal, vertical and diagonal direction present in areas of detail and texture. By smoothness we refer to the smooth or low frequency areas of the image which do not contain prominent edge or texture activity. We map the directional information into 3-d vectors, which are then used to build N-d histograms. These histograms can then be used as database indices which can be queried using histogram techniques.

关键词： image retrieval directional detail indexing wavelets histograms

来源：评论

学校读者我要写书评

暂无评论

storage and retrieval for media databases 2002

Storage and retrieval for media databases 2002

引用

storage and retrieval for Media databases 2002

The proceeding contains 41 papers from the conference on storage and retrieval for Media databases 2002. The topics discussed include: structural segmentation for multimedia content-based information retrieval;seeded image segmentation for content-based image retrieval application;automatic classification of images on the Web;novel image retrieval technique using salient edges;extensible feature management engine for image retrieval;search and retrieval of image databases;video segmentation;video indexing and video processing.

关键词： Content based retrieval

来源：评论

学校读者我要写书评

暂无评论

Large-scale image retrieval with supervised sparse hashing

引用

NEUROCOMPUTING 2017年 229卷 45-53页

作者： Xu, Yan Shen, Fumin Xu, Xing Gao, Lianli Wang, Yuan Tan, Xiao Univ Elect Sci & Technol China Sch Comp Sci & Engn Chengdu Peoples R China Nanjing Univ Sci & Technol Jiangsu Key Lab Image & Video Understanding Socia Nanjing Jiangsu Peoples R China Natl Univ Singapore Dept Ind & Syst Engn Singapore Singapore Univ Hong Kong Hong Kong Hong Kong Peoples R China

In recent years, learning based hashing becomes an attractive technique in large-scale image retrieval due to its low storage and computation cost. Hashing methods map each high-dimensional vector onto a low-dimensional hamming space by projection operators. However, when processing high dimensional data retrieval, many existing methods including hashing cost a majority of time on projection operators. In this paper, we solve this problem by implementing a sparsity regularizer. On one hand, due to the sparse property of the projection matrix, our method effectively lower both the storage and computation cost. On the other hand, we reduce the effective number of parameters involved in the learned projection matrix according to sparsity regularizer, which helps avoid overfitting problem. Without relaxing binary constraints, an iterative scheme jointly optimizing the objective function directly was given, which helps to obtain effective and efficient binary codes. We evaluate our method on three databases and compare it with some state-of-the-art hashing methods. Experimental results demonstrate that our method outperforms the comparison approaches.

关键词： Learning based hashing Medical Sparsity image retrieval

来源：评论

学校读者我要写书评

暂无评论

An image and video search engine for the World-Wide Web 5

An image and video search engine for the World-Wide Web

引用

Conference on storage and retrieval for image and video databases V

作者： Smith, JR Chang, SF Department of Electrical Engineering Center for Image Technology for New Media Columbia University New York 10027 NY United States

ISBN: (纸本)0819424331

We describe a visual information system prototype for searching for images and videos on the World-Wide Web. New visual information in the form of images, graphics, animations and videos is being published on the Web at an incredible rate. However, cataloging this visual data is beyond the capabilities of current text-based Web search engines. In this paper, we describe a complete system by which visual information on the Web is (1) collected by automated agents, (2) processed in both text and visual feature domains, (3) catalogued and (4) indexed for fast search and retrieval. We introduce an image and video search engine which utilizes both text-based navigation and content-based technology for searching visually through the catalogued images and videos. Finally, we provide an initial evaluation based upon the cataloging of over one half million images and videos collected from the Web.

关键词： content-based visual query image and video storage and retrieval World-Wide Web

来源：评论

学校读者我要写书评

暂无评论

DrawSearch: a tool for interactive content-based image retrieval over the net

引用

Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 561-572页

作者： Di Sciascio, E. Mongiello, M. Politecnico di Bari Bari Italy

Content Based image retrieval has recently become one of the most active research areas, due to the massive increase in the amount and complexity of digitized data being stored, transmitted and accessed. We present here a prototype implementation of DRAWSEARCH, an image retrieval by content system that uses color and shape (and texture in the near future) features to index and retrieve images. The system, currently being tested and improved, is designed to increase interactivity with users posing queries over the Internet and avails of a Java client for query by sketch. It also implements relevance feedback to allow users dynamically refine queries. Experiments show that the proposed approach can greatly reduce the user's effort to compose a query while capturing his/her information need with greater precision.

关键词： Information retrieval systems

来源：评论

学校读者我要写书评

暂无评论

Indexing, retrieval and browsing of wavelet compressed imagery data 5

Indexing, retrieval and browsing of wavelet compressed image...

引用

Conference on storage and retrieval for image and video databases V

作者： Liang, KC Wan, X Kuo, CCJ Univ. of Southern California (United States)

ISBN: (纸本)0819424331

The wavelet packet transform and the successive approximation quantization techniques, which have been adopted in modern wavelet coding, are exploited for content-based image retrieval in this research. By adopting this approach, images can be compressed and indexed simultaneously, and the complexity of database management can be significantly reduced. The proposed new feature for image indexing is the number of significant wavelet coefficients in each wavelet packet subband. This feature does not only serve as a good representation of image content but also allows a hierarchical retrieval and browsing of images and facilitates the progressive transmission of retrieved images. Extensive experimental results are provided to demonstrate the retrieval efficiency of the proposed new method.

关键词： wavelets wavelet packets compression features image retrieval image indexing

来源：评论

学校读者我要写书评

暂无评论

video server technology for high-performance retrieval in video-on-demand 5

Video server technology for high-performance retrieval in vi...

引用

Conference on storage and retrieval for image and video databases V

作者： Sugiyama, H Takahata, M Nishimura, K NTT Human Interface Labs. (Japan)

ISBN: (纸本)0819424331

A powerful new set of video playback control functions is proposed which aids subscribers in finding specific programs or contents from among a vast store of video materials. For conducting title-based searches, repeat and clip capabilities are proposed as ways of previewing or browsing a program's contents. For retrieving information from within a program, skip and fast forward/rewind functions are effective when searching through video materials that are familiar, while midway playback is an effective approach when searching through material that had never been seen before. Most significantly, this set of video playback controls permits visual searches without reducing the number of concurrent users that can be supported while preserving a video access response time of under 1 second. The proposed methods are implemented in an experimental system and evaluated.

关键词： video search indexing video on demand video server

来源：评论

学校读者我要写书评

暂无评论

A DISTRIBUTED HIERARCHICAL storage MANAGER FOR A video-ON-DEMAND SYSTEM 2

A DISTRIBUTED HIERARCHICAL STORAGE MANAGER FOR A VIDEO-ON-DE...

引用

Conference on storage and retrieval for image and video databases II

作者： FEDERIGHI, C ROWE, LA UNIV CALIF BERKELEY DIV COMP SCIBERKELEYCA 94720

ISBN: (纸本)0819414808

The design of a distributed video-on-demand system that is suitable for large video libraries is described. The system is designed to store 1000s of hours of video material on tertiary storage devices. A video that a user wants to view is loaded onto a video file server close to the users desktop from where it can be played. The system manages the distributed cache of videos on the file servers and schedules load requests to the tertiary storage devices. The system also includes a metadata database, described in a companion paper, that the user can query to locate video material of interest. This paper describes the software architecture, storage organization, application protocols for locating and loading videos, and distributed cache management algorithm used by the system. © 1994 Proceedings of SPIE - The International Society for Optical Engineering. All rights reserved.

关键词： Virtual storage

来源：评论

学校读者我要写书评

暂无评论

A robust approach to video segmentation using compressed data 5

A robust approach to video segmentation using compressed dat...

引用

Conference on storage and retrieval for image and video databases V

作者： Wei, Q Zhang, HJ Zhong, YZ Tsinghua University Department of Computer Science and Technology Beijing 100084 China HP Labs 1501 Page Mill Road Palo Alto 94304 CA United States

ISBN: (纸本)0819424331

Partitioning video sequences into individual shots is one of the fundamental processes in video content parsing and content-based video retrieval. Up to now, a variety of algorithms and systems have been developed to perform this task. However, most of these algorithms exhibit their weakness when applied to detect gradual transitions such as dissolves, wipe, fade-in and fade-out In this paper, we presented an integrated scheme to the detection of abrupt camera breaks and gradual scene changes using DCT coefficients and motion data encoded in the MPEG compression stream. The core of the proposed approach is a tree-like classifier. Three algorithms are organized in the classifier to deal with the complicated situation in real-world video sequences separately.

关键词： video segmentation video database content-based retrieval video compression multimedia

来源：评论

学校读者我要写书评

暂无评论

image retrieval FOR INFORMATION SYSTEMS

IMAGE RETRIEVAL FOR INFORMATION SYSTEMS

引用

Conference on storage and retrieval for image and video databases III

作者： HERMES, T KLAUCK, C KREYSS, J ZHANG, J UNIV BREMEN DEPT COMP SCID-28334 BREMENGERMANY

ISBN: (纸本)081941767X

In order to retrieve a set of intended images from a huge image archive, human beings think of special contents with respect to the searched scene, like a countryside or a technical drawing. Therefore, in general it is harder to retrieve images by using a syntactical feature- based language than a language which offers the selection of examples concerning color, texture, and contour in combination with natural language concepts. This motivation leads to a content-based image analysis and goes on to a content-based storage and retrieval of images. Furthermore, it is unreasonable for any human being to make the content description for thousands of images manually. From this point of view, the project IRIS (image retrieval for information systems) combines well-known methods and techniques in computer vision and AI in a new way to generate content descriptions of images in a textual form automatically. IRIS retrieves the images by means of text retrieval realized by the SearchManager/6000. The textual description is generated by four sub-steps: feature extraction like colors, textures, and contours, segmentation, and interpretation of part-whole relations. The system is implemented on IBM RS/6000 using AIX. It has already been tested with 350 images.

关键词： image retrieval TEXT retrieval image ANALYSIS NATURAL LANGUAGE

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：