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Texture content based retrieval using text descriptions

Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 75-85页

作者： Kuan, J.K.P. Joyce, D.W. Lewis, P.H. ADC Metrica Richmond United Kingdom

We developed a content based retrieval scheme for texture by using text based description. The texture technique is based on our previous work which uses very simple texture primitives such as edges and plain regions to generate features. Other methods that apply complicated statistics can be difficult to transcribe into understandable forms for normal users. Unlike these other methods, with the simplicity of our features, we can express them in terms of simple language. Hence we can bridge the gap between semantics and computed features. A number of benefits can be achieved which opens a new horizon for content based retrieval with texture. For example, the user can request a texture image without necessarily knowing what types of textures are stored. In this paper we describe the method of translating such features and the partial weighted Euclidean distance matching which allows users to describe only the parts that they are interested in. This allows them to gradually refine their texture descriptions.

关键词： Information retrieval

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image descriptors based on fractal transform analysis

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 379-389页

作者： Demko, Stephen Khosravi, Mehdi Chen, Keshi Iterated Systems Inc Atlanta United States

The Fractal Transform (FT) was originally introduced as a methodology for compressing digital images and representing them at different scales. The process of calculating an FT generates a great deal of information about the affine similarities and dissimilarities of an image, most of which is discarded in compression applications. In this paper we introduce the concept of Fractal Transform Analysis and use it to derive new image descriptors. We present results of experiments in which description schemes comprised of some of these FT-based descriptors are applied to the problems of finding objects in an image similar to a given object, of indexing images, and of querying an image database consisting of about 17,000 images. Complexity and timing data are also presented.

关键词： image analysis

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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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System for indexing multispectral satellite images for efficient content-based retrieval

System for indexing multispectral satellite images for effic...

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storage and retrieval for image and video databases III

作者： Barros, Julio E. French, James C. Martin, Worthy N. Kelly, Patrick M. Univ. of Virginia Charlottesville VA USA United States

ISBN: (纸本)081941767X

Current feature-based image databases can typically perform efficient and effective searches on scalar feature information. However, many important features, such as graphs, histograms, and probability density functions, have more complex structure. Mechanisms to manipulate complex feature data are not currently well understood and must be further developed. The work we discuss in this paper explores techniques for the exploitation of spectral distribution information in a feature-based image database. A six band image was segmented into regions and spectral information for each region was maintained. A similarity measure for the spectral information is proposed and experiments are conducted to test its effectiveness. The objective of our current work is to determine if these techniques are effective and efficient at managing this type of image feature data.

关键词： Indexing (of information)

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Multi-linearization data structure for image browsing

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 155-166页

作者： Craver, Scott Yeo, Boon-Lock Yeung, Minerva Princeton Univ Princeton United States

image search has been actively studied in recent years. On the other hands, image browsing has received little attention. image browsing refers to the process of presenting some forms of overview or summary of the image relationships, thus facilitating a user to navigate across the data set and find images of interests. In this paper, we present a new data structure built on the multi-linearization of image attributes for efficient organization of the data set and fast visual browsing of the images. We describe new techniques for multi-linearization based on multiple space-filling curves and hierarchical clustering techniques. In addition to providing fast navigation, our proposed data structure allows computationally efficient insertion and deletion of images from the data set. We then present a novel image navigator and browser built on dual-linearization data structure and intuitive presentation of image relevance and relationships, demonstrate the image navigation process, and report results on 1000 and 22,000 image databases. We also discuss how our data structure can be extended to support fast image search.

关键词： image analysis

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Visual data indexing and retrieval using color feature

Visual data indexing and retrieval using color feature

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作者： Shi, Yongxia State University of New York at Buffalo

学位级别：Ph.D.

Recent advances in visual data storage and retrieval technologies have made the creation of very large databases feasible. Color indexing is one of the crucial issues in the management of color image and video databases. In this dissertation we investigate an approach based on the color feature extraction and indexing of images for the purpose of content-based color image and video database retrieval. Since the high computational complexity has been one of the main barriers towards the use of similarity measures, such as histogram intersection distance, in very large database, we present a hierarchical automatic color indexing scheme and used to subset images before more sophisticated techniques are applied for precise retrieval. The use of automatically indexed color contents of images as filtering and matching features in a hierarchical scheme is studied with full algorithm implementation procedure described in detail. In the meantime, we developed a set of programs to extract the color features from which the color vector complex of images is derived for accomplishing both color image database indexing and video sequence parsing. The discrimination between different image scenes based on color vector difference measurement is also studied. The experimental results demonstrate that our approach is the state-of-art of work with high efficiency and low computation complexity. Through applying it to visual data we can expect getting not only a way of color image discrimination but also a way of color video sequence segmentation or shot boundary detection based on color features.

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Vector angular distance measure for indexing and retrieval of color

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 604-613页

作者： Androutsos, D. Plataniotis, K.N. Venetsanopoulos, A.N. Univ of Toronto Toronto Canada

A key aspect of image retrieval using color, is the creation of robust and efficient indices. In particular, the color histogram remains the most popular index, due primarily to its simplicity. However, the color histogram has a number of drawbacks. Specifically, histograms capture only global activity, they require quantization to reduce dimensionality, are highly dependent on the chosen color space, have no means to exclude a certain color from a query and can provide erroneous results due to gamma nonlinearity. In this paper we present a vector angular distance measure which is implemented as part of our database system. Our system does away with histogram techniques for color indexing and retrieval and instead implements color vector techniques. We use color segmentation to extract regions of prominent color and use representative vectors from these extracted regions in the image indices. This way we end up with a much smaller index which does not have the granularity of a histogram. Instead similarity is based on our vector angular distance measure between a query color vector and the indexed representative vectors.

关键词： Color image processing

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Texture characterization of compressed aerial images using DCT coefficients. 5

Texture characterization of compressed aerial images using D...

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Conference on storage and retrieval for image and video databases V

作者： Reeves, R Kubik, K Osberger, W Queensland Univ. of Technology (Australia)

ISBN: (纸本)0819424331

We test the performance of a texture feature constructed from the variance of the first eight AC Discrete Cosine Transform (DCT) coefficients of JPEG compressed images. We break the image into sub-images, consisting of many 8*8 blocks, and then calculate the variance of each DCT coefficient across the sub-image. We evaluate the texture feature at two different image resolutions, and at three different quality factors. In our high resolution image a pixel covered a square of side 4 cm on the ground. Our low resolution image was generated by subsampling. Representative feature vectors were generated for five subjectively identified textures, by averaging a small training set. Each sub-image was then classified according to the representative feature vector closest in feature space. Compression ratio had little effect on the classification result in our study. However image resolution significantly altered the classification result. Classification correlated much more closely to a subjective classification for the low resolution image. Feature vectors also fell into much more clearly defined clusters at the lower resolution. Although more research is required across different photo-scales and sets of images, we conclude that texture features generated from compressed JPEG images have potential for content-based image retrieval based on texture.

关键词： JPEG DCT content-based retrieval texture feature image compression aerial photography

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Query by synthesized sketch in an architectural database 5

Query by synthesized sketch in an architectural database

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Conference on storage and retrieval for image and video databases V

作者： BenoisPineau, J Martinez, J Briand, H IRESTE (France) IRIN/Univ. de Nantes (France)

ISBN: (纸本)0819424331

In an architectural database that is to be used by architects, urbanists, sociologists, geometers, etc., querying must be simplified. The aim of this work is to retrieve the images of a building that best fit a specified point of view. Original data are provided in DXF and TIFF formats (maps and images respectively.) A loose linking between these two types of information is obtained through textual attributes. However, the same building is photographed several times and more than a single building can appear on a picture. After determining the point of view by simple ''clicks'' on a map, we take advantage of the geometrical description of the building in order to draw its outline. Then, the images that have been textually associated with the selected building undergo a five-steps image-processing algorithm: conversion from the RGB color-space to intensity component, Nagao filtering, oriented gradient filtering, thresholding, and correlation-based hierarchical full search matching. If the building objects are not completely masked by natural ones, the ''rectangular'' shapes of frontage and side walls correspond well to the sketch and the requested images are returned to the user.

关键词： multimedia databases query by content image processing architectural application

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Using background knowledge for picture organization and retrieval 5

Using background knowledge for picture organization and retr...

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Conference on storage and retrieval for image and video databases V

作者： Quintana, Y Univ. of Western Ontario (Canada)

ISBN: (纸本)0819424331

A picture knowledge base management system is described that is used to represent, organize and retrieve pictures from a frame knowledge base. Experiments with human test subjects were conducted to obtain further descriptions of pictures from news magazines. These descriptions were used to represent the semantic content of pictures in frame representations. A conceptual clustering algorithm is described which organizes pictures not only on the observable features, but also on implicit properties derived from the frame representations. The algorithm uses inheritance reasoning to take into account background knowledge in the clustering. The algorithm creates clusters of pictures using a group similarity function that is based on the gestalt theory of picture perception. For each cluster created, a frame is generated which describes the semantic content of pictures in the cluster. Clustering and retrieval experiments were conducted with and without background knowledge. The paper shows how the use of background knowledge and semantic similarity heuristics improves the speed, precision, and recall of queries processed. The paper concludes with a discussion of how natural language processing of can be used to assist in the development of knowledge bases and the processing of user queries.

关键词： conceptual clustering content retrieval picture knowledge bases frames inheritance reasoning

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