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7th storage and retrieval for image and video databases conference

作者： Celenk, M Shao, Y Ohio Univ Sch Elect Engn & Comp Sci Athens OH 45701 USA

ISBN: (纸本)0819431273

this paper describes a rotation, translation, and scaling (RTS) invariant color image indexing technique for imaging database systems. the features used for image indexing are color based, which are extracted using the principal component analysis, Hotelling transform, and moment invariants. this synthesized feature extraction technique is devised to be computationally efficient for on-line fast image storage and retrieval using color information Since the database indexing relies on a the use of average (mean) color vector and seven moment invariants of an image, the index storage requirement of the method is only a ten-dimensional (10-D) vector. this index storage efficiency is very desirable for many imaging database applications. A new similarity measure is also proposed based on the Tanimoto measure of recognizing similar patterns for fast image retrieval in large database systems. the underlying similarity measure is computationally effective since the vector inner product is the only operation needed for its computation. Four databases are experimented in the computer simulation of the algorithm to demonstrate the RTS property of the image retrieval. It is determined experimentally that the proposed method is not affected by substantial changes in the database images due to rotation, translation, and scaling. this is attributed to the fact that the moment features used for retrieval are not predefined sets;rather, they are obtained directly from the images submitted for recording or searching. this makes the algorithm very robust and attractive for many applications of the image storage and retrieval systems.

关键词： color image storage and retrieval principal components Hotelling transform moment invariants Tanimoto measure

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

Location hashing: An efficient indexing method for locating ...

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7th storage and retrieval for image and video databases conference

作者： Syeda-Mahmood, T IBM Corp Almaden Res Ctr San Jose CA 95120 USA

ISBN: (纸本)0819431273

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： databases Low-intensity laser therapy image segmentation Nanoimprint lithography Data modeling Quantization Affine motion model Feature extraction image retrieval Surgery

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

DrawSearch: A tool for interactive content-based image retri...

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7th storage and retrieval for image and video databases conference

作者： Di Sciascio, E Mongiello, M Politecn Bari Dipartimento Elettrotecn & Elettron I-70125 Bari Italy

ISBN: (纸本)0819431273

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： retrieval by image content vector space model query by sketch relevance feedback human-computer interaction WWW

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videoBase - a prototype of video database managing system

VideoBase - a prototype of video database managing system

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7th storage and retrieval for image and video databases conference

作者： Bai, XS Xu, GY Shi, YC Tsinghua Univ Natl Key Lab Intelligent Technol & Syst Dept Comp Sci & Technol Beijing 110084 Peoples R China

ISBN: (纸本)0819431273

Content based retrieval on large multimedia database attracts the interests of many researchers, but the database architecture needed for content based retrieval is still an open problem. Traditional relation database system does not support the high-dimension feature form content description and indexing, thus is limited in its content based retrieval function. Some systems do support high-dimension feature form content description and indexing, but lacks descriptions and query expressions on media object content and relations. In this paper, we present our study results on query mechanism and proposed CbEEpr - a power flexible query expression mechanism on media object. Based on CbExpr we proposed GMA (general mediabase architecture) -a general architecture for management and content based retrieval on large media databases, and videoBase - a content based video retrieval system is present as example of GMA. Basic thoughts, considerations, and definitions are presented in the paper, also with some implementation details.

关键词： mediabase flexible query mechanism similarity indexing general mediabase architecture shot frequency

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Using content models to build audio-video summaries

Using content models to build audio-video summaries

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7th storage and retrieval for image and video databases conference

作者： Saarela, J Merialdo, B Inst Eurecom F-06904 Sophia Antipolis France

ISBN: (纸本)0819431273

the amount of digitized video in video archives is becoming so huge that easier access and content browsing tools are desperately needed. Also, video is no longer one big piece of data but a collection of useful smaller building blocks that can be accessed and used independently from the original context of presentation. In this paper, we demonstrate a content model for audio-video sequences with the purpose of enabling the automatic generation of video summaries. the model is based on descriptors which indicate various properties and relations of audio and video segments. In practice, these descriptors could either be generated automatically by analysis methods, or produced manually (or computer-assisted) by the content provider himself. We analyze the requirements and characteristics of the different data segments with respect to the problem of summarization, and we define our model as a set of constraints which allow to produce good quality summaries.

关键词： video analysis summary segmentation audio-video synchronization presentation constraints

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video and image databases: who cares?

Video and image databases: who cares?

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

作者： Delp, Edward J. Purdue Univ West Lafayette IN United States

the aim of this report is to be controversial and to engage a debate within the research community. Issues of whether some of the work in image and video databases has been directed at solutions in search of a problem are discussed. Important applications in the area of media-based digital libraries that will enhance human experience are also detailed.

关键词： Database systems

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Content based image and video retrieval using embedded text

Content based image and video retrieval using embedded text

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7th Asian conference on Computer Vision

作者： Misra, C Sural, S Indian Inst Technol Sch Informat Technol Kharagpur 721302 W Bengal India

ISBN: (纸本)3540312447

Extraction of text, from image and video is an important step in building efficient indexing and retrieval systems for multimedia databases. We adopt a hybrid approach for such text extraction by exploiting a number of characteristics of text blocks in color images and video frames. Our system detects both caption text as well as scene text of different font, size, color and intensity. We have developed an application for on-line extraction and recognition of texts from videos. Such texts are used for retrieval of video clips based on any given keyword. the application is available on the web for the readers to repeat our experiments and also to try text extraction and retrieval from their own videos.

关键词： image retrieval

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image indexing using composite regional color channels features

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Proceedings of SPIE - the International Society for Optical Engineering 1999年 3656卷 492-500页

作者： Appas, Ahmed R. Darwish, Ahmed M. El-Desouki, Ayman I. Shaheen, Samir I. Electronic Research Inst Dokki Egypt

Color indexing is a technique by which images in the database could be retrieved on the bases of their color content. In this paper, we propose a new set of color features for representing color images, and show how they can be computed and used efficiently to retrieve images that possess certain similarity. these features are based on the first three moments of each color channel. Two differences distinguish this work from previous work reported in the literature. First, we compute the third moment of the color channel distribution around the second moment not around the first moment. the second moment is less sensitive to small luminance changes, than the first moment. Second we combine all three moment values in a single descriptor. this reduces the number of floating point values needed to index the image and hence speeds up the search. To give the user flexibility in terms of defining his center of attention during query time, the proposed approach divides the image into five geometrical regions and allows the user to give different weights for each region to designate its importance. the approach has been tested on databases of 205 images of airplanes and natural scenes. It proved to be insensitive to small rotations and small translations in the image and yielded a better hit rate than similar algorithms previously reported in the literature.

关键词： image analysis

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Integrated system for image storage, retrieval and transmission using wavelet transform

Integrated system for image storage, retrieval and transmiss...

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

作者： Yu, Dan Liu, Ya Mu, Yan Yang, Shiqiang Tsinghua Univ Beijing China

A highly integrated wavelet-based image management system is proposed. three solutions for key aspect of image management are derived: content-based image retrieval (CBIR);image compression/decompression;and image transmission. By exploring the excellent features of wavelet, integrating key aspect of image management, the system shows a high overall performance.

关键词： Database systems

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Archiving and retrieval of sequential images from tomographic databases in PACS

Archiving and retrieval of sequential images from tomographi...

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

作者： Shyu, Chi-Ren Cai, T.Tony Broderick, Lynn S. Purdue Univ West Lafayette IN United States

A scheme that reduces the needed storage considerably without reducing the retrieval effectiveness of a content-based image retrieval (CBIR) system such as ASSERT is introduced. this scheme enables ASSERT to retrieve the most similar physician-marked key images from the other patients, and those adjacent images that cohere with the key images. Only the key images and the other images that cohere with the key images are retained for archival purposes. this significantly reduces the amount of storage needed for fast retrieval.

关键词： Database systems

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