检索结果-内蒙古大学图书馆

Conference on storage and retrieval for Still image and video databases IV

作者： Kimiyama, H Nishimura, K Matsuda, C Nakano, H NIPPON TELEGRAPH & TEL PUBL CORP HUMAN INTERFACE LABS MUSASHINO TOKYO 180 JAPAN

ISBN: (纸本)0819420441

An experimental video server for middle-scale video-on-demand services that uses a 'redundant double-layered disk array' can read out 100 MPEG-1 1.5-Mbps video streams simultaneously with a response time of under one second through an FDDI-LAN. An exclusive data method that switches between normal data and fast data and a skip-search method are used to provide fast visual search. The gateway connecting the video server LAN to a 6.312-Mbps constant bit-rate line allows broadcast services to be integrated with on- demand services. The protocol implemented in this gateway controls the visual search rate, corrects errors in downloaded data, and accelerates the playback mode changes.

关键词： video-on-demand multiple readout visual search gateway

来源：评论

学校读者我要写书评

暂无评论

Content-based image retrieval by feature point matching

Content-based image retrieval by feature point matching

引用

Conference on storage and retrieval for Media databases 2001

作者： Hsu, CT Wu, YT Chen, ALP Natl Tsing Hua Univ Dept Comp Sci Hsinchu 300 Taiwan

ISBN: (纸本)0819439932

With the advance of multimedia technologies and the explosive expansion of the World Wide Web, the volume of image and video data increases rapidly. An efficient and effective multimedia data retrieval technique is needed. In this paper, we propose an approach based on feature points for the content-based image retrieval. The feature points extracted from the multiresolution representation of the query image and database image are first matched to determine the matching pairs. Then, the matching pairs are classified into groups, finally, two similarity measurements based on different similarity requirements are proposed to compute the similarity degree. We perform a series of experiments to study. the characteristics of this approach, and compare with the region-based approach on similar-shot sequence retrieval. The comparison shows the superiority of this approach.

关键词： feature point extraction/matching/grouping similarity measurement similar- shot sequence retrieval

来源：评论

学校读者我要写书评

暂无评论

Contextual bitplane coding for DWT image compression 5

Contextual bitplane coding for DWT image compression

引用

Conference on storage and retrieval for image and video databases V

作者： NguyenPhi, K Weinrichter, H Technische Univ. Wien (Austria)

ISBN: (纸本)0819424331

We propose anew simple image coder based on Discrete Wavelet Transform (DWT). The DWT coefficients are coded in bitplanes. We use a variable order Markovian model to code the DWT coefficient bitplanes. Recently, we have developed this method that used 65 contexts(7). In this paper, the number of contexts is reduced to 34. We show the experimental results, both in terms of distortion measurement and visual comparison, and compare them to well-known methods.

关键词： wavelet image compression bitplane coding zero-tree coding

来源：评论

学校读者我要写书评

暂无评论

Content-based analysis and indexing of sports video

Content-based analysis and indexing of sports video

引用

storage and retrieval for Media databases 2002 Conference

作者： Luo, M Bai, XS Xu, GY Tsinghua Univ Dept Comp Sci & Technol State Key Lab Intelligent Technol & Syst Beijing 100084 Peoples R China

ISBN: (纸本)0819444162

An explosion of on-line image and video data in digital form is already well underway. With the exponential rise in interactive information exploration and dissemination through the World-Wide Web, the major inhibitors of rapid access to on-line video data are the management of capture and storage, and content-based intelligent search and indexing techniques. This paper proposes an approach for content-based analysis and event-based indexing of sports video. It includes a novel method to organize shots-classifying shots as close shots and far shots, an original idea of blur extent-based event detection, and an innovative local mutation-based algorithm for caption detection and retrieval. Results on extensive real TV programs demonstrate the applicability of our approach.

关键词： video indexing caption detection and retrieval shot segmentation shot classification blur extent event detection

来源：评论

学校读者我要写书评

暂无评论

An experimental study of alternative shape-based image retrieval techniques

引用

MULTIMEDIA TOOLS AND APPLICATIONS 2007年第1期32卷 29-48页

作者： Shahabi, Cyrus Safar, Maytham Univ So Calif Dept Comp Sci Integrated Media Syst Ctr Los Angeles CA 90089 USA Kuwait Univ Dept Comp Engn Kuwait Kuwait

Besides traditional applications (e.g., CAD/CAM and Trademark registry), new multimedia applications such as structured video, animation, and MPEG-7 standard require the storage and management of well-defined objects. These object databases are then queried and searched for different purposes. A sample query might be "find all the scenes that contain a certain object." Shape of an object is an important feature for image and multimedia similarity retrievals. Therefore, in this study we focus on shape-based object retrieval and conduct a comparison study on four of such techniques (i.e., Fourier descriptors, grid based, Delaunay triangulation, and our proposed MBC-based methods (e.g., MBC-TPVAS)). We measure the effectiveness of the similarity retrieval of the four different shape representation methods in terms of recall and precision. Our results show that the similarity retrieval accuracy of our method (MBC-TPVAS) is as good as that of the other methods, while it observes the lowest computation cost to generate the shape signatures of the objects. Moreover, it has low storage requirement, and a comparable computation cost to compute the similarity between two shape signatures. In addition, MBC-TPVAS requires no normalization of the objects, and is the only method that has direct support for S-RST query types. In this paper, we also propose a new shape description taxonomy.

关键词： shape representation shape similarity similarity measure image retrieval

来源：评论

学校读者我要写书评

暂无评论

PARALLEL storage AND retrieval OF imageS

PARALLEL STORAGE AND RETRIEVAL OF IMAGES

引用

CONF ON storage AND retrieval FOR image AND video databases

作者： LI, XB LIU, ZY Univ. of Alberta (Canada) Univ. of Alberta (China)

ISBN: (纸本)0819411418

In past decades, many storage schemes for large images on parallel computers have been proposed to provide simultaneous access to various subsets of the pixels. The existing storage schemes have the following limitations: (1) The address generation mechanism is dependent on the size of the image to be processed. (2) Many schemes have limitations on the machine size and image size (N X N, such as N must be an even power of 2). (3) As more and more frequently used data patterns have been recognized, most schemes can only provide parallel access to a limited range of data patterns. (4) The data alignment (connecting each memory module to a proper processor) may require special hardware. In this study, we investigate the combination of several storage schemes. They mainly employ exclusive-or operations for address generation which can be completed in constant time. The address generation mechanism is independent of the image size so that different sized images can be processed efficiently on a fixed-size machine. The system uses N memory modules where N is any (even or odd) power of two. With schemes combined together, this system covers more data patterns than any single scheme yet proposed.

关键词： image processing Matrices Information operations Array processing image retrieval Binary data Computing systems Lithium Parallel processing Pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Constructing colour image databases using BTC for efficient storage and effective retrieval

Constructing colour image databases using BTC for efficient ...

引用

International Symposium on Intelligent Multimedia, video and Speech Processing

作者： Qiu, G Univ Nottingham Sch Comp Sci Nottingham NG8 1BB England

ISBN: (纸本)9628576623

Ire introduce a simple image coding method, the block truncation coding (BTC) technique, as a novel approach to the construction of colour image databases. It is shown that BTC cars riot only be used to compress the images thus achieving storage efficiency, the BTC codes cart also be used directly, to construct image features for effective image retrieval. From the BTC code we have developed an image feature termed the BTC colour co-occurrence matrix (BCCM) as an effective measure of image contents. Experimental results are presented to show that BCCM is comparable to state of the art techniques, such as color correlogram, in image retrieval.

关键词： Color

来源：评论

学校读者我要写书评

暂无评论

Location hashing: an efficient indexing method for locating object queries in image databases

引用

Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 366-378页

作者： Syeda-Mahmood, Tanveer IBM Almaden Research Cent San Jose United States

Queries referring to content embedded within images are an essential component of content-based search, browse, or summarize operations in image databases. Localization of such queries under changes in appearance, occlusions and background clutter, is a difficult problem, for which current spatial access structures in databases are not suitable. In this paper we present a new method of indexing image databases called location hashing that uses a special data structure called the location hash tree (LHT) for organizing feature information from images of a database. Location hashing is based on the principle of geometric hashing and determines simultaneously, the relevant images in the database and the regions within them that are most likely to contain a 2d pattern query without incurring detailed search of either. The location hash tree being a red-black tree, allows for efficient search for candidate locations using pose-invariant feature information derived from the query.

关键词： Database systems

来源：评论

学校读者我要写书评

暂无评论

Compressed domain video indexing techniques using DCT and motion vector information in MPEG video 5

Compressed domain video indexing techniques using DCT and mo...

引用

Conference on storage and retrieval for image and video databases V

作者： Kobla, V Doermann, D Lin, KID Faloutsos, C Univ. of Maryland/College Park (United States)

ISBN: (纸本)0819424331

Development of various multimedia applications hinges on the availability of fast and efficient storage, brews browsing, indexing, and retrieval techniques. Given that video is typically stored efficiently in a compressed format, if we can analyze the compressed representation directly, we can avoid the costly overhead of decompressing and operating at the pixel level. Compressed domain parsing of video has been presented in earlier work where a video clip is divided into shots, subshots, and scenes.(9,11) In this paper, we describe key frame selection, feature extraction, and indexing and retrieval techniques that are directly applicable to MPEG compressed video. We develop a frame-type independent representation of the various types of frames present in an MPEG video in which all frames can be considered equivalent. Features are derived from the available DCT, macroblock, and motion vector information and mapped to a low-dimensional space where they can be accessed with standard database techniques. The spatial information is used as primacy index while the temporal information is used to enhance the robustness of the system during the retrieval process. The techniques presented enable fast archiving, indexing, and retrieval of video. Our operational prototype typically takes a fraction of a second to retrieve similar video scenes from our database, with over 95% success.

关键词： compressed domain analysis video indexing video retrieval FastMap MPEG DCT

来源：评论

学校读者我要写书评

暂无评论

Hierarchical clustering techniques for image database organization and summarization

Hierarchical clustering techniques for image database organi...

引用

Conference on Multimedia storage and Archiving Systems iii

作者： Vellaikal, A Kuo, CCJ Hughes Res Labs Informat Sci Lab Malibu CA 90265 USA

ISBN: (纸本)0819429880

This paper investigates clustering techniques as a method of organizing image databases to support popular visual management functions such as searching, browsing and navigation. Different types of hierarchical agglomerative clustering techniques are studied as a method of organizing features spaces as well as summarizing image groups by the selection of a few appropriate representatives. retrieval performance using both single and multiple level hierarchies are experimented with and the algorithms show an interesting relationship between the top k correct retrievals and the number of comparisons required. Some arguments are given to support the use of such cluster-based techniques for managing distributed image databases.

关键词： clustering content-based retrieval image databases feature space organization visual data browsing

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：