检索结果-内蒙古大学图书馆

International conference on image Processing (ICIP 2001)

作者： Cheung, SS Zakhor, A Univ Calif Berkeley Dept Elect Engn & Comp Sci Berkeley CA 94720 USA

ISBN: (纸本)0780367251

The proliferation of video content on the web makes similarity detection an indispensable tool in web data management, searching, and navigation. We have previously proposed a compact representation of video clips, called video signature, for retrieving similar video clips in large databases. In this paper we propose a new signature clustering algorithm to further improve retrieval performance. The algorithm treats all the signatures as an abstract threshold graph, where the threshold is determined based on local data statistics. Similar clusters are identified as highly connected regions in the graph. This algorithm outperforms simple thresholding and hierarchical clustering techniques in identifying a set of manually-determined similar clusters from a dataset of 46,356 web video clips. At 95% precision, our algorithm attains 85% recall while simple thresholding and complete-link hierarchical scheme attain 67% and 75% recall respectively. Applying our algorithm to the entire dataset, 6,900 similar clusters are identified, with an average cluster size of 2.81 video clips. The distribution of cluster sizes follows a power-law distribution, which has been shown to describe many web phenomena.

关键词： image processing

来源：评论

学校读者我要写书评

暂无评论

Efficient video search using image queries

Efficient video search using image queries

引用

作者： Araujo, A. Makar, M. Chandrasekhar, V. Chen, D. Tsai, S. Chen, H. Angst, R. Girod, B. Stanford University United States Qualcomm Inc. United States Institute for Infocomm Research Singapore Singapore

ISBN: (纸本)9781479957514

We study the challenges of image-based retrieval when the database consists of videos. This variation of visual search is important for a broad range of applications that require indexing video databases based on their visual contents. We present new solutions to reduce storage requirements, while at the same time improving video search quality. The video database is preprocessed to find different appearances of the same visual elements, and build robust descriptors. Compression algorithms are developed to reduce system's storage requirements. We introduce a dataset of CNN broadcasts and queries that include photos taken with mobile phones and images of objects. Our experiments include pairwise matching and retrieval scenarios. We demonstrate one order of magnitude storage reduction and search quality improvements of up to 12% in mean average precision, compared to a baseline system that does not make use of our techniques. © 2014 IEEE.

关键词： Database systems

来源：评论

学校读者我要写书评

暂无评论

Unsupervised view and rate invariant clustering of video sequences

引用

COMPUTER VISION AND image UNDERSTANDING 2009年第3期113卷 353-371页

作者： Turaga, Pavan Veeraraghavan, Ashok Chellappa, Rama Univ Maryland Ctr Automat Res Dept Elect & Comp Engn UMIACS College Pk MD 20742 USA

videos play an ever increasing role in our everyday lives with applications ranging from news, entertainment, scientific research, security and surveillance. Coupled with the fact that cameras and storage media are becoming less expensive, it has resulted in people producing more video content than ever before. This necessitates the development of efficient indexing and retrieval algorithms for video data. Most state-of-the-art techniques index videos according to the global content in the scene such as color, texture, brightness, etc. In this paper, we discuss the problem of activity-based indexing of videos. To address the problem, first we describe activities as a cascade of dynamical systems which significantly enhances the expressive power of the model while retaining many of the computational advantages of using dynamical models. Second, we also derive methods to incorporate view and rate-invariance into these models so that similar actions are clustered together irrespective of the viewpoint or the rate of execution of the activity. We also derive algorithms to learn the model parameters from a video stream and demonstrate how a single video sequence may be clustered into different clusters where each cluster represents an activity. Experimental results for five different databases show that the clusters found by the algorithm correspond to semantically meaningful activities. (C) 2008 Elsevier Inc. All rights reserved.

关键词： video clustering Summarization Surveillance Cascade of linear dynamical systems View invariance Affine invariance Rate invariance

来源：评论

学校读者我要写书评

暂无评论

Wide-area distributed disaster-tolerant file system for multimedia data storage

Wide-area distributed disaster-tolerant file system for mult...

引用

storage and retrieval for image and video databases VI conference

作者： Murata, S Iwatsu, S Ueno, M Izawa, N Ishii, K NTT Integrated Informat & Energy Syst Labs Tokyo 180 Japan

ISBN: (纸本)0819427527

We propose a new disaster-tolerant file system for multimedia data storage. To protect against natural disasters by eliminating the possibility of simultaneous failure in multiple disks constituting a RAID (Redundant Array of Inexpensive Disks) system, our proposed file system features a RAID system with member disks spatially distributed over a wide area. The Fibre Channel standard has the potential to create an up to 10-km separation of member disks by using single-mode optical fiber cables. The prototype system of wide-area distributed file (WDF) consisting of a layered structure of RAID level 1 and RAID level 0 was tested. It has its entire data in a local disk and its mirroring data striped into two Fibre-Channel-connected disks by using optical fiber cables. The Effect of underlying software modules and hardware components on its read/write performance was investigated. Compared with a file system using a local disk, the prototype WDF system shows equivalent read performance by directing all reads to its local disk and its write performance is almost 20% lower. An on-line transaction processing (OLTP) benchmark was also executed. The WDF system achieved a throughput (transactions per second) similar to that of the file system using a local disk.

关键词： file system disaster-tolerant RAID disk array Fibre Channel wide-area distribution data storage OLTP

来源：评论

学校读者我要写书评

暂无评论

Adaptive storage and retrieval of large compressed images

Adaptive storage and retrieval of large compressed images

引用

Proceedings of the 1999 7th conference of the storage and retrieval for image and video databases Vii

作者： Smith, John R. Castelli, Vittorio Li, Chung-Sheng IBM T.J. Watson Research Cent Hawthorne NY United States

Enabling the efficient storage, access and retrieval of large volumes of multi-dimensional data is one of the important emerging problems in databases. We present a framework for adaptively storing, accessing, and retrieving large images. The framework uses a space and frequency graph to generate and select image view elements for storing in the database. By adapting to user access patterns, the system selects and stores those view elements that yield the lowest average cost for accessing the multi-resolution sub-region image views. The system uses a second adaptation strategy to divide computation between server and client in progressive retrieval of image views using view elements. We show that the system speeds-up retrieval for access and retrieval modes such as drill-down browsing and remote zooming and panning and minimizes the amount of data transfer over the network.

关键词： Information retrieval systems

来源：评论

学校读者我要写书评

暂无评论

Indexing and retrieval of multimedia objects at different levels of granularity

Indexing and retrieval of multimedia objects at different le...

引用

conference on Multimedia storage and Archiving Systems iiI

作者： Faudemay, P Durand, G Seyrat, C Tondre, N Univ Paris 06 LIP6 F-75255 Paris 05 France

ISBN: (纸本)0819429880

Intelligent access to multimedia databases for "naive user" should probably be based on queries formulation by "intelligent agents". These agents should "understand" the semantics of the contents, learn user preferences and deliver to the user a subset of the source contents, while keeping the freedom of choice of the user. Such systems should interpret multimedia contents in terms of multiple audiovisual objects (from video to visual or audio object), and on actions and scenarios. In our project we have developed a method for image segmentation into semantic objects, even in the case of still images. We use this method, and user-defined collections of such objects, and to characterize stories contents. For this purpose, we also use audio information from selected parts of the video. Stories are characterized by a set of visual concepts and words, and semantic similarity between stories is evaluated based on information retrieval methods. The system learns user preferences, and incrementally builds a user profile, which is used to present relevant stories in appropriate order. This approach was used to build a mockup of a simple "plus" engine, which is presently being experimented.

关键词： multimedia indexing video analysis spatial segmentation temporal segmentation example-based retrieval

来源：评论

学校读者我要写书评

暂无评论

Comparison of automatic shot boundary detection algorithms

Comparison of automatic shot boundary detection algorithms

引用

7th storage and retrieval for image and video databases conference

作者： Lienhart, R Intel Corp Microcomp Res Labs Santa Clara CA 95052 USA

ISBN: (纸本)0819431273

Various methods of automatic shot boundary detection have been proposed and claimed to perform reliably. Although the detection of edits is fundamental to any kind of video analysis since it segments a video into its basic components, the shots, only few comparative investigations on early shot boundary detection algorithms have been published. These investigations mainly concentrate on measuring the Edit detection performance, however;do not consider the algorithms' ability to classify the types and to locate the boundaries of the edits correctly. This gaper extends these comparative investigations More recent algorithms designed explicitly to detect specific complex editing operations such as fades and dissolves are taken into account and their ability to classify the types and locate the boundaries of such edits are examined. The algorithms' performance is measured in terms of hit rate, number of false hits, and miss rate for hard cuts, fades, and dissolves over a large and diverse set of video sequences. The experiments show, that while hard cuts and fades can be detected reliably, dissolves are still an open research issue The fate hit rate for dissolves is usually unacceptably high, ranging from 50% up to over 400%. Moreover;all algorithms seem to fail under roughly the same conditions.

关键词： video content analysis shot boundary detection hard cut detection fade detection dissolve detection

来源：评论

学校读者我要写书评

暂无评论

引用

conference on storage and retrieval for Media databases 2003

作者： Eidenberger, H Breiteneder, C Vienna Tech Univ Inst Software Technol & Interact Syst A-1040 Vienna Austria

ISBN: (纸本)0819448214

The focus of this paper is on similarity modeling. In the first part we revisit underlying concepts of similarity modeling and sketch the currently most used VIR similarity model (Linear Weighted Merging, LWM). Motivated by its drawbacks we introduce a new general similarity model called Logical retrieval (LR) that offers more flexibility than LWM. In the second part we integrate the Feature Contrast Model (FCM) in this environment, developed by psychologists to explain human peculiarities in similarity perception. FCM is integrated as a general method for distance measurement. The results show that FCM performs (in the LR context) better than metric-based distance measurement. Euclidean distance is used for comparison because it is used in many VIR systems and is based on the questionable metric axioms. FCM minimizes the number of clusters in distance space. Therefore it is the ideal distance measure for LR. FCM allows a number of different parameterizations. The tests reveal that in average a symmetric, non-subtractive configuration that emphasizes common properties of visual objects performs best. Its major drawback in comparison to Euclidean distance is its worse performance (in terms of query execution time).

关键词： visual information retrieval Content-based image retrieval Content-based video retrieval visual similarity measurement similarity modeling linear weighted merging logical retrieval feature contrast model boolean retrieval vector space model

来源：评论

学校读者我要写书评

暂无评论

Reducing redundancy in videos using reference frame and clustering technique of key frame extraction

Reducing redundancy in videos using reference frame and clus...

引用

International conference on Circuits, Communication, Control and Computing (I4C)

作者： Nasreen, Azra Shobha, G. RV Coll Engn Dept Comp Sci & Engn Bangalore Karnataka India

ISBN: (纸本)9781479965458

Digital video is becoming an emerging force in current computer and telecommunication industries for its large mass of data. video segmentation and key-frame extraction have become crucial for the development of advanced digital video systems. Key frame extraction is a very useful technique to provide a concise access to the video content and is the first step towards efficient browsing and retrieval in video databases. Existing approaches are either computationally expensive or ineffective in capturing salient visual content. The proposed system extracts key frames from input videos using two distinct, cost-effective algorithms namely reference based key frame extraction and clustering. It uses multiple characteristics such as co-relation, optical flow and mutual information to identify and extract key frames. The proposed system is able to extract the key frames efficiently for any video format & the extracted key frames can satisfactorily represent the salient content of the video. storage is reduced by one-eighth of the total space required by the original video and the original content can be represented in one-fourth the time of the input video achieving very high compression efficiency & hence can be used in any video retrieval applications.

关键词： key frame extraction optical flow image-entropy clustering

来源：评论

学校读者我要写书评

暂无评论

A comprehensive progressive decoding for JPEG compressed image

A comprehensive progressive decoding for JPEG compressed ima...

引用

conference on storage and retrieval for Media databases 2003

作者： Feng, GC Baharudin, B Jiang, JM Univ Bradford Sch Informat EIMC Bradford BD7 1DP W Yorkshire England

ISBN: (纸本)0819448214

The explosive growth of images and videos on the World Wide Web (WWW) is making the Web into a huge resource of visual information. Among various types of multimedia information, still images or dynamic images (video clips) in compressed format are the most widely accepted on the WWW. Therefore, it becomes an essential issue to achieve the maximum efficiency in transmitting and decoding those compressed images on the Internet. Progressive coding provides a mode that allows a coarse version of an image being transmitted at a lower bit rate and then gradually refined by subsequent transmissions. Compared with conventional coding, it is more suitable for interactive applications such as those involving JPEG images on the Internet. In this paper, we first give an approximation of cosine function used in IDCT for the various orders. Based on the approximation and a series analysis, we then develop a progressive decoding scheme which comprehends the successive approximation and the spectral selection. The analysis and experiments establish the fact that our proposed method saves computational cost significantly in comparison with the existing spectral selection based progressive decoding proposed by JPEG. Extensive experiments are carried out to evaluate the proposed algorithm, which reveals that, the reconstructed images, even at the lowest bit rate and with lower order approximation, can still achieve encouraging PSNR values.

关键词： progressive coding JPEG compressed image successive approximation and spectral selection

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：