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image AND VISION COMPUTING 1985年第3期3卷 111-117页

作者： NAGY, G University of Nebraska—Lincoln Department of Computer Science Lincoln NB 68588 USA

The notion of the image database is still unstructured. We examine recent work under this heading as well as related work in computer vision and conventional database technology. It appears that the principal difficulties in fusing the two disciplines are: the arbitrary nature of discrete representations of continuous scenes; and the lack of linear ordering in two dimensions. A possible solution to these problems is suggested.

关键词： image database computer vision remote sensing

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image database design based on 9D-SPA representation for spatial relations

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IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 2004年第12期16卷 1486-1496页

作者： Huang, PW Lee, CH Natl Chung Hsing Univ Dept Comp Sci Taichung 40227 Taiwan Chaoyang Univ Technol Dept Informat Management Taichung Taiwan

Spatial relationships between objects are important features for designing a content-based image retrieval system. In this paper, we propose a new scheme, called 9D-SPA representation, for encoding the spatial relations in an image. With this representation, important functions of intelligent image database systems such as visualization, browsing, spatial reasoning, iconic indexing, and similarity retrieval can be easily achieved. The capability of discriminating images based on 9D-SPA representation is much more powerful than any spatial representation method based on Minimum Bounding Rectangles or centroids of objects. The similarity measures using 9D-SPA representation provide a wide range of fuzzy matching capability in similarity retrieval to meet different user's requirements. Experimental results showed that our system is very effective in terms of recall and precision. In addition, the 9D-SPA representation can be incorporated into a two-level index structure to help reduce the search space of each query processing. The experimental results also demonstrated that, on average, only 0.1254 percent similar to 1.6829 percent of symbolic pictures ( depending on various degrees of similarity) were accessed per query in an image database containing 50,000 symbolic pictures.

关键词： image database spatial relations similarity retrieval 9D-SPA visualization

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image database system featuring graceful oblivion

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IEICE TRANSACTIONS ON COMMUNICATIONS 1996年第8期E79B卷 1015-1022页

作者： Yasuda, Y Yasuno, T Katayama, F Toida, T Sakata, H WASEDA UNIV GRAD SCH SCI & ENGN TOKYO 169 JAPAN

Intending to contribute to constructing better multimedia network systems, we propose a new concept of image database system of which form of storage is featuring exponential or graceful oblivion and abrupt recollection like the human memory property. By virtue of this property of database storages that is realized by employing hierarchical or pyramidal image coding, the database memory and transmission costs can be significantly reduced. In this paper we will describe the details of the concept, the results of theoretical analysis based on a simplified model which reveals the effectiveness of the proposed system, the structure of an experimental prototype system and the result of an experimental image retrieval service carried out by implementing it over ATM high speed channels.

关键词： multimedia on demand image database human memory model distributed system B-ISDN hierarchical coding JPEG

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image database of printed fabric with repeating dot patterns part (I) - image archiving

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TEXTILE RESEARCH JOURNAL 2017年第17期87卷 2089-2105页

作者： Kuo, Chung-Feng Jeffrey Lee, Cheng-Lin Shih, Chung-Yang Natl Taiwan Univ Sci & Technol Grad Inst Automat & Control 43Keelung RdSec 4 Taipei 106 Taiwan Kun Shan Univ Dept Mat Engn 195 Kunda Rd Tainan Taiwan

An image database of printed fabrics with repeating dot patterns was created to alleviate issues associated with management of and searches for numerous dot printed fabrics in the printing industry. The function of the database is to archive and allow retrieval of images. First, we discuss image archiving of repeating pattern-based dot printed fabrics. The color image was scanned by resolution of 200 dpi. The wavelet transformation was used to preprocess the image to obtain a scanned image 1/16 of the size of the original to be the stored image. To acquire images with repeating pattern color and repeating pattern template, the binary image of each pattern was obtained using the Sobel edge detection method and a morphological operation. Then pattern elements identical to the target pattern element were screened out. Afterwards, the centroid positions of these identical pattern elements were used to subdivide the repeating pattern color image and repeating pattern template image using a vertical vector method. Finally, the RGB 512-color histogram was used as the color feature of the dot printed fabrics, and the geometric and moment invariant feature values of the repeating pattern template image were used as the pattern feature of the dot printed fabrics. Our experimental results show that images can be acquired that are suitable for use in a dot printed fabric image database. The color and template images of the repeating patterns, which represent the image content of the printed fabrics, were obtained to create an image database of repeating pattern-based dot printed fabrics. This image database contains data on 300 printed fabrics which can be used for subsequent research on database image retrieval.

关键词： dot printed fabrics image database repeating pattern color image repeating pattern template image

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An image database system with support for traditional alphanumeric queries and content-based queries by example

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MULTIMEDIA TOOLS AND APPLICATIONS 1998年第3期7卷 181-212页

作者： Swets, DL Pathak, Y Weng, JJ Augustana Coll Dept Comp Sci Sioux Falls SD 57197 USA Campbell Serv Inc Southfield MI 48075 USA Michigan State Univ Dept Comp Sci E Lansing MI 48824 USA

Large image databases are commonly employed in applications like criminal records, customs, plant root databases, and voters' registration databases. Efficient and convenient mechanisms for database organization and retrieval are essential. A quick and easy-to-use interface is needed which should also mesh naturally with the overall image management system. In this paper we describe the design and implementation of an integrated image database system. This system offers support for both alphanumeric query, based on alphanumeric data attached to the image file, and content-based query utilizing image examples. Content-based retrieval, specifically Query by image Example, is made possible by the SHOSLIF approach. Alphanumeric query is implemented by a collection of parsing and query modules. All these are accessible from within a user-friendly GUI.

关键词： image database content-based retrieval query-by-example alphanumeric query similarity-based query

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image database-SYSTEMS - A SURVEY

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PATTERN RECOGNITION 1984年第1期17卷 29-43页

作者： TAMURA, H YOKOYA, N Electrotechnical Laboratory 1-1- Umezono Sakura-mura Niihari-gun Ibaraki 305 Japan

In this paper the state of image database (IDB) systems which have been developed in the past few years is reviewed. We point out the essential problems in IDB design rather than classify the existing or proposed systems into an unestablished framework. After giving a general overview, the approaches to IDB and the elements of IDB systems are discussed. Finally, several representative IDB systems are presented.

关键词： image database Pictorial database database model Spatial data processing Data structure database management system

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JUVDsi v1: developing and benchmarking a new still image database in Indian scenario for automatic vehicle detection

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MULTIMEDIA TOOLS AND APPLICATIONS 2023年第21期82卷 32883-32915页

作者： Bhattacharyya, Avirup Bhattacharya, Avigyan Maity, Sourajit Singh, Pawan Kumar Sarkar, Ram Jadavpur Univ Dept Comp Sci & Engn 188 Raja SC Mallick Rd Kolkata 700032 West Bengal India Jadavpur Univ Dept Informat Technol Jadavpur Univ Campus 2Plot 8LB BlockSect 3 Kolkata 700106 West Bengal India

Designing an automatic vehicle detection (AVD) system from still images or videos would be a useful tool to cater to the requirements of the traffic management system. Over the past few years, numerous databases have been developed for the use of researchers in this field of AVD. However, most of them are not acceptable in the Indian scenarios due to certain practical constraints like the road infrastructure, nature of congestion, and vehicle types commonly found in India. The aim of this research is to develop a still image database, named as JUVDsi v1, which includes nine different types of vehicle classes collected through mobile phone cameras in various ways for designing an automated traffic management system. Identifying and analyzing the shortcomings of existing databases, the developed database presents an improvement to address such bottle-necks. Furthermore, the efficiency of this database is evaluated using an ensemble of three state-of-the-art deep learning architectures. At first, each vehicle in the scene images is localized and categorized. Five base object detection models, namely, YOLOv3, Faster-RCNN, RFCN, SSDv1 and SSDLitev2 are used. Finally, the Weighted Boxes Fusion technique is used as the ensemble method (ensemble of best three out of the five base learners), thereby enhancing the performance obtained by the individual object detection models. The database can be found at: https://***/JUVDsi/***.

关键词： Automatic vehicle detection JUVD image database Object detection Deep learning Ensemble

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Evaluation of an algorithm for finding a match of a distorted texture pattern in a large image database

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ACM TRANSACTIONS ON INFORMATION SYSTEMS 1998年第1期16卷 31-60页

作者： Vujovic, N Brzakovic, D Lehigh Univ Dept Elect Engn & Comp Sci Bethlehem PA 18015 USA

Evaluation of an algorithm for finding a match for a random texture pattern in a large image database is presented. The algorithm was designed assuming that the random pattern may be subject to misregistration relative to its representation in the database and assuming that it may have missing parts. The potential applications involve authentication of legal documents, bank notes, or credit cards, where thin fibers are embedded randomly into the document medium during medium fabrication. The algorithm achieves image matching by a three-step hierarchical procedure, which starts by matching parts of fiber patterns while solving the misregistration problem and ends up by matching complete fiber patterns. Performance of the algorithm is studied both theoretically and experimentally. Theoretical analysis includes the study of the probability that two documents have the same pattern, and the probability of the algorithm establishing a wrong match, as well as the algorithm's performance in terms of processing time. Experiments involving over 250,000 trials using databases of synthetic documents, containing up to 100,000 documents, were used to confirm theoretical predictions. In addition, experiments involving a database containing real images were conducted in order to confirm that the algorithm has potential in real applications.

关键词： algorithms experimentation image database image matching misregistration random pattern presentation of information

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Regularized color clustering in medical image database

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IEEE TRANSACTIONS ON MEDICAL IMAGING 2000年第11期19卷 1150-1155页

作者： Li, CH Yuen, PC Hong Kong Baptist Univ Dept Comp Sci Hong Kong Peoples R China

A regularized color clustering algorithm is proposed to solve the color clustering problem in medical image database, By incorporating both measures of cluster separability and cluster compactness, regularized color clustering allows the automatic extraction of significant color groups with varying populations. Experimental results in different color spaces show that the regularized color clustering gives superior results in extracting significant distinct/abnormal color clusters without significant increases in cluster compactness. Furthermore, results of color clustering in different color spaces show that the LUV color space is more suitable for color clustering. Methods for selecting the regularization constants have also been suggested.

关键词： clustering color processing image database regularization

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image database navigation

Image database navigation

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4th Internet Imaging Conference

作者： Boukala, N Colantoni, P Univ St Etienne EA 3070 Lab Informat Graph & Ingn Vis F-42000 St Etienne France

ISBN: (纸本)0819448184

In this article, we present a new graphical navigation environment for image databases. Unlike "query by example" which focuses on similarities between images, the method we propose shows up visual differences occurring along paths offered to the user. images are arranged to show an evolution along a direction, e.g. an axis that crosses the parameter space. This gives a global view of the database and allows the user to run all over the database in an organized way, and to focus on narrow areas by displaying sets of images.

关键词： image database navigation content-based image retrieval color

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