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IEEE International Conference on Systems, Man and Cybernetics

作者： Kyuheon Kim Seyoon Jeong Byung Tae Chun Jae Yeon Lee Younglae Bae Image Processing Department Computer Software Technology Laboratory Electronics and Telecommunications Research Institute Daejeon South Korea

This paper proposes the simple and efficient image retrieval algorithm using subregional texture features. In order to retrieve images in terms of its contents, it is required to obtain a precise segmentation. However, it is very difficult and takes a long computing time. Therefore, this paper proposes a simple segmentation method, which is to divide an image into high and low entropy regions by using picture information measure (PIM). Also, in order to describe texture characteristics of each region, this paper suggests six different texture features produced on the basis of co-occurrence matrix. For an image retrieval system, a normalised correlation is adopted as a similarity function, which is not dependent on the range of each texture feature values. Finally, this proposed algorithm is applied to various images and produces competitive results.

关键词： image retrieval image segmentation Multimedia databases Information retrieval Content based retrieval Entropy image databases image processing Telecommunication computing Software

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research and Design of Drawings Retrieval System Based on Spatial Relationships and Shape

Research and Design of Drawings Retrieval System Based on Sp...

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ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM

作者： Haiyu Song Pengjie Wang Xiongfei Li Houjie Li Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun Jilin China The Research Institute of Computer Graphics and Image Processing Dalian Nationalities of University Dalian Liaoning China

CAD drawings reuse is of great importance in promoting design efficiency and productivity. The ability to retrieve CAD drawings is the core of drawings reuse task. Most of the existing drawings retrieval systems rely only on text descriptions. Due to complexity of visual feature, a little system is based on content. A simplified topological relationship is proposed to describe visual features for dimension reduction. An effective topological relationship vector is constructed by graph spectra. A novel retrieval system based on visual contents, including topological relationships, shape, and directional relationships, is proposed. The experiments show that the proposed approach and system are superior to the text-based and traditional content-based retrieval systems.

关键词： Shape Feature extraction Topology Indexing Design automation Data mining Visualization

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Entropy and color correlation for image indexing

Entropy and color correlation for image indexing

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IEEE International Conference on Systems, Man and Cybernetics

作者： Se Yoon Jeong Kyuheon Kim Byung Tae Chun Jae Yeon Lee Y.L.J. Bae Department of Image Processing Electronics and Telecommunications Research Institute Computer and Software Technology Laboratory Taejon South Korea

This paper presents a new indexing system, which divides an image into higher and lower entropy regions, and calculates the color correlation features between each type of region. Thus, we can improve the discrimination power of color indexing techniques. The indexing system proposed in this paper has three important properties. The first is an entropy feature. An image is divided by an entropy feature into two regions, lower and higher entropy regions in order to avoid the problems caused by general global features. The second is a color correlation feature. This paper uses 2-dimensional probability distribution functions of an image to obtain color moment features, and thus, obtain more information than using 1-dimensional probability distribution functions (i.e. histogram). The last is the retrieval procedure consisting of two steps: firstly, a simple retrieval algorithm is applied to all the images in a database, and secondly, only the results of the previous retrieval are searched. Thus, it can help in reducing the total retrieval time and improving the retrieval accuracy.

关键词： Entropy Indexing Histograms image retrieval Information retrieval Probability distribution Moment methods image databases Spatial databases image processing

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A robust algorithm for iris localization based on radial symmetry and circular integro differential operator

A robust algorithm for iris localization based on radial sym...

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IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Zuhong Zhou Peng Yao Zhenquan Zhuang Jun Li University of Science and Technology Hefei China Department of Computer Vision and Image Processing Institute for Infocomm Research Singapore

Locating an iris is important in an iris recognition system. Previous studies have shown good performance when an iris image is clear. However, if an iris image is occluded by eyelids, eyelashes and reflection, the accuracy and robustness of localization will decrease significantly. This paper proposed a new algorithm to locate an iris in a coarse-to-fine manner: firstly, a modified radial symmetry transform was used to find the possible pupil region; secondly, an enhanced circular integro operator was adopted to obtain the precise iris location. Experimental results on CASIA V3.0 iris database showed that proposed algorithm has a more accurate and robust performance than the previous methods, especially when occlusion of eyelids, eyelashes and reflection occurred. A real-time system was able to be achieved by the coarse-to-fine strategy as well.

关键词： Iris recognition Eyelashes Eyelids Pixel Iris Transforms Robustness

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The convergence analysis for the rational Bézier curves

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Journal of Information and Computational Science 2010年第8期7卷 1643-1648页

作者： Shi, Mao Ye, Zhenglin Wang, Guozhao Kang, Baosheng Department of Applied Mathematics Northwestern Polytechnical University Xi'an 710072 China Institute of Computer Graphics and Image Processing Department of Mathematics Zhejiang University Hangzhou 310027 China Department of Computer Northwest University Xi'an 710069 China

This article considers the limit of a rational Bézier curve. Limits are considered using point-wise, uniform and L1 limits to a family of rational Bézier curves. The paper shows that a rational Bézier curve dose not uniformly converge on [0, 1] to its point-wise limit, when one of the weight goes to infinity. The goal of this paper is to clarify the ambiguity between the viewpoint of Goldman [1] and Piegl [2] on the limit of a rational Bézier curve. For that, we detail the limit in term of the different criteria. Copyright © 2010 Binary Information Press.

关键词： L1 convergence Non-uniform convergence Point-wise convergence Rational Bézier curve

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Efficient video images retrieval by using local co-occurrence matrix texture features and normalised correlation

Efficient video images retrieval by using local co-occurrenc...

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IEEE Region 10 International Conference TENCON

Since multimedia data is widely used in many fields, research is needed on how to search that data. As a method of retrieving multimedia data, especially for image data, content based image retrieval (CBIR) systems have obtained lots of interest. In order to develop CBIR systems, many different properties of an image have been considered for methods of retrieving image data such as colour, texture, shape, etc. The paper proposes a simple and efficient image retrieval algorithm, which retrieves images on the basis of subregional texture characteristics. In order to retrieve images in terms of contents, it is in general required to obtain a precise segmentation. However, it is very difficult and takes a lot of computing time for precise segmentation. Therefore, the proposed algorithm subdivides an image in terms of a certain sized windows, and finds out whether an image contains a query pattern on the basis texture features. Also, these texture features are described by only six different texture features produced from a co-occurrence matrix. For an image retrieval system, a normalised correlation is adopted as a similarity function, which is not dependent on the range of texture feature values. Finally, the proposed algorithm is applied to various images and produces competitive results.

关键词： image retrieval Information retrieval Content based retrieval image segmentation Multimedia databases Multimedia systems Shape image processing Telecommunication computing Software

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An effective method for combining multiple features of image retrieval

An effective method for combining multiple features of image...

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IEEE Region 10 International Conference TENCON

作者： Seyoon Jeong Kyuheon Kim Byungtae Chun Jaeyeon Lee Y.J. Bae Department of Image Processing Computer & Software Technology Laboratory Electronics and Telecommunications Research Institute Taejon South Korea

We propose an image retrieval system using the Borda count method in combining multiple experts (CME). It combines color-, shape- and texture-based retrieval systems. CME method can complementarily combine results of each retrieval system, which uses different features. There are some problems when the Borda count method in pattern recognition is applied to image retrieval. Thus, we propose a modified Borda count method to solve these problems. In the experiment our method reduces false positive errors and produces better results than that of each retrieval module that uses only one feature.

关键词： image retrieval Pattern recognition Shape Equations Fuzzy neural networks image processing Telecommunication computing Software Laboratories Content based retrieval

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Math Information Retrieval with Contrastive Learning of Formula Embeddings 24th

Math Information Retrieval with Contrastive Learning of Fo...

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24th International Conference on Web Information Systems Engineering, WISE 2023

作者： Wang, Jingyi Tian, Xuedong School of Cyber Security and Computer Hebei University Baoding071002 China Institute of Intelligent Image and Document Information Processing Hebei University Baoding071002 China Hebei Machine Vision Engineering Research Center Hebei University Baoding071002 China

ISBN: (纸本)9789819972531

The core and hard part of Mathematical Information Retrieval (MathIR) is formula retrieval. The datasets used for formula retrieval are usually scientific documents containing formulas. However, there is a lack of labeled datasets specifically for formula similarity. Contrastive learning can learn general features of datasets from unlabeled data and autonomously discover latent structures in the data. Furthermore, dense retrieval methods based on bi-encoders have gained increasing attention. Therefore, we propose CLFE, a simple framework for contrastive learning of formula embeddings. It can learn the latent structure and content information of formulas from unlabeled formulas and generate formula embeddings for formula retrieval. We design two frameworks, Contrastive Presentation MathML-Content MathML Learning and Contrastive LaTeX-MathML Learning, which initialize the encoders using transformer-based models and can produce superior LaTeX, Presentation MathML, and Content MathML embeddings for each formula. The combination of these three embeddings results in the Add embedding and Concat embedding. Finally, the formula retrieval task is achieved by finding the k nearest formulas in the vector space through nearest neighbor search. Experimental results show that when applying our proposed method on the NTCIR-12 dataset to retrieve 20 non-wildcard formulas and scoring the top-10 results, the highest achieved scores for mean P@10, mean nDCG@10, and MAP@10 are 0.6250, 0.9792, and 0.9381. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Information retrieval

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Camera-supervised monitor shading correction for softproofing systems

Camera-supervised monitor shading correction for softproofin...

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作者： Brauers, Johannes Klein, Julie Hill, Bernhard Aach, Til Institute of Imaging and Computer Vision RWTH Aachen University Templergraben 55 D-52056 Aachen Germany Color and Image Processing Research Group RWTH Aachen University Templergraben 55 D-52056 Aachen Germany

ISBN: (纸本)9781617388897

A softproofing system is required to faithfully display color images. As the user relies on an appropriate calibration of the system, a method for the evaluation of the quality of the calibration is required. Such a method has recently been developed and allows a critical side-by-side comparison between the original sample and the reproduced monitor image by placing the original directly in front of the monitor. An internal light source of the softproofing system establishes an almost uniform illumination of the target. In this paper, we present a method to spatially equalize the brightness of the monitor with respect to an object placed in front of the monitor. The automatic calibration procedure requires minimal user intervention and utilizes a standard RGB camera in combination with a special calibration target. The results show that the camera enables an accurate and uncomplicated homog-enization of the monitor with respect to the object in front of the monitor.

关键词： Cameras

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Motion constraint patterns

Motion constraint patterns

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1993 IEEE Workshop on Qualitative Vision, WQV 1993

作者： Fermüller, Cornelia Computer Vision Laboratory Center for Automation Research University of Maryland College ParkMD20742-3275 United States Department for Pattern Recognition and Image Processing Institute for Automation Technical University Vienna Treitlstraße 3 ViennaA-1040 Austria

ISBN: (纸本)0818636920

The problem of egomotion recovery has been treated by using as input local image motion, with the published algorithms utilizing the geometric constraint relating 2-D local image motion (optical flow, correspondence, derivatives of the image flow) to 3-D motion and structure. Since it has proved very difficult to achieve accurate input (local image motion), a lot of effort has been devoted to the development of robust techniques. A new approach to the problem of egomotion estimation is taken, based on constraints of a global nature. It is proved that local normal flow measurements form global patterns in the image plane. The position of these patterns is related to the three dimensional motion parameters. By locating some of these patterns, which depend only on subsets of the motion parameters, through a simple search technique, the 3-D motion parameters can be found. The proposed algorithmic procedure is very robust, since it is not affected by small perturbations in the normal flow measurements. As a matter of fact, since only the sign of the normal flow measurement is employed, the direction of translation and the axis of rotation can be estimated with up to 100% error in the image measurements. © 1993 IEEE.

关键词： Flow measurement

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