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检索条件"任意字段=Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition"

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A New Method for Handwritten Scene Text Detection in Video

A New Method for Handwritten Scene Text Detection in Video

引用

international Workshop on Frontiers in Handwriting recognition

作者： Palaiahnakote Shivakumara Anjan Dutta Umapada Pal Chew Lim Tan School of Computing National University of Singapore Singapore Computer Vision Center Universitat Authnòma de Barcelona Barcelona Spain Computer Vision and Pattern Recognition Unit Indian Statistical Institute India

there are many video images where hand written text may appear. therefore handwritten scene text detection in video is essential and useful for many applications for efficient indexing, retrieval etc. Also there are many video frames where text line may be multi-oriented in nature. To the best of our knowledge there is no work on handwritten text detection in video, which is multi-oriented in nature. In this paper, we present a new method based on maximum color difference and boundary growing method for detection of multi-oriented handwritten scene text in video. the method computes maximum color difference for the average of R, G and B channels of the original frame to enhance the text information. the output of maximum color difference is fed to a K-means algorithm with K = 2 to separate text and non-text clusters. Text candidates are obtained by intersecting the text cluster with the Sobel output of the original frame. To tackle the fundamental problem of different orientations and skews of handwritten text, boundary growing method based on a nearest neighbor concept is employed. We evaluate the proposed method by testing on our own handwritten text database and publicly available video data (Hua's data). Experimental results obtained from the proposed method are promising.

关键词： Pixel Image edge detection Image color analysis Graphics Clustering algorithms Image resolution Measurement

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pattern recognition of Abnormal Left Ventricle Wall Motion in Cardiac MR

Pattern Recognition of Abnormal Left Ventricle Wall Motion i...

引用

12th international conference on Medical Image computing and Computer-Assisted Intervention (MICCAI2009)

作者： Lu, Yingli Radau, Perry Connelly, Kim Dick, Alexander Wright, Graham Sunnybrook Hlth Sci Ctr Toronto ON M4N 3M5 Canada St Micheals Hosp Cardiol Toronto ON Canada Sunnybrook Hlth Sci Ctr Cardiol Toronto ON Canada

ISBN: (纸本)9783642042706

there are four main problems that limit application of pattern recognition techniques for recognition of abnormal cardiac left ventricle (LV) wall motion: 1) Normalization of the LV's size, shape, intensity level and position;2) defining a spatial correspondence between phases and Subjects;3) extracting features;4) and discriminating abnormal from normal wall motion. Solving these four problems is required for application of pattern recognition techniques to classify the normal and abnormal LV wall motion. In this work, we introduce a normalization scheme to solve the first and second problems. With this scheme, LVs are normalized to the same position, size, and intensity level. Using the normalized images, we proposed an intra-segment classification criterion based on a con-elation measure to solve the third and fourth problems. Application of the method to recognition of abnormal cardiac MR LV wall motion showed promising results.

关键词： pattern recognition

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Generalized query by transduction for online active learning

Generalized query by transduction for online active learning

引用

2009 IEEE 12th international conference on Computer Vision Workshops, ICCV Workshops 2009

作者： Balasubramanian, Vineeth Chakraborty, Shayok Panchanathan, Sethuraman School of Computing and Informatics Arizona State University Tempe AZ 85281 United States

ISBN: (纸本)9781424444427

Transductive inference has gained popularity in recent years as a means to develop pattern classification approaches that address the specific issue of predicting the class label of a given data point, instead of the more general problem of inferring the ideal classifier function. In this paper, we propose a Generalized Query by Transduction (GQBT) approach for active learning in the online setting. this approach is based on the theory of conformal predictions, which has recently been proposed based on principles of algorithmic randomness, transductive inference and hypothesis testing. the proposed GQBT approach can be used along with any existing pattern classification algorithm, and can also be used to combine multiple criteria in selecting an unlabeled example appropriately in the active learning process. the results of our experiments with different datasets from the UCI Machine Learning repository demonstrate high promise in the proposed approach, with significantly lower label complexities than other existing online active learning approaches. the GQBT approach was also evaluated on face recognition using videos from the VidTIMIT dataset, and the observed superior performance supports the potential of applicability of the proposed approach in real-world problems. ©2009 IEEE.

关键词： Face recognition

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proceedings - 12th IEEE international conference on Computational Science and Engineering, CSE 2009

Proceedings - 12th IEEE International Conference on Computat...

引用

2009 international conference on Computational Science and Engineering, CSE '09

ISBN: (纸本)9780769538235

the proceedings contain 65 papers. the topics discussed include: performance modeling and analysis of integrated WLANs and internet-access mesh networks;a trade-off approach to optimal resource allocation algorithm with cache technology in ubiquitous computing environment;self-tuning the parameter of adaptive non-linear sampling method for flow statistics;a cognitive approach to achieve fair uplink and downlink utilities in wireless networks;a weighted-dissimilarity-based anomaly detection method for mobile wireless networks;a novel resource management scheme for integrated multiple traffic heterogeneous systems;scalable APRIORI-based frequent pattern discovery;event-driven approach for logic-based complex event processing;incremental discovery of sequential patterns using a backward mining approach;and data distribution methods for communication localization in multi-clusters with heterogeneous network.

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Rough Sets, Fuzzy Sets, Data Mining and Granular computing - 12th international conference, RSFDGrC 2009, proceedings

引用

12th international conference on Rough Sets, Fuzzy Sets, Data Mining and Granular computing, RSFDGrC 2009

ISBN: (纸本)3642106455

the proceedings contain 63 papers. the topics discussed include: discovering concurrent process models in data: a rough set approach;intelligent science;pattern structures for analyzing complex data;fuzzy sets and rough sets for scenario modeling and analysis;innovation game as a tool of chance discovery;an algebraic semantics for the logic of multiple-source approximation systems;towards an algebraic approach for cover based rough semantics and combinations of approximation spaces;new approach in defining rough approximations;rough set approximations based on granular labels;on a criterion of similarity between partitions based on rough set theory;a formal concept analysis approach to rough data tables;covering based approaches to rough sets and implication lattices;some proof theoretic results depending on context from the perspective of graded consequence;and dynamic reduct from partially uncertain data using rough sets.

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Identity and variation spaces: Revisiting the fisher linear discriminant

Identity and variation spaces: Revisiting the fisher linear ...

引用

2009 IEEE 12th international conference on Computer Vision Workshops, ICCV Workshops 2009

作者： Zhang, Sheng Sim, Terence Yeh, Mei-Chen Department of Psychology University of California Santa Barbara CA United States School of Computing National University of Singapore Singapore Department of Computer Science and Information Engineering National Taiwan Normal University Taipei Taiwan

ISBN: (纸本)9781424444427

the Fisher Linear Discriminant (FLD) is commonly used in classification to find a subspace that maximally separates class patterns according to the Fisher Criterion. It was previously proven that a pre-whitening step can be used to truly optimize the Fisher Criterion. In this paper, we study the theoretical properties of the subspaces induced by this whitened FLD. Of the four subspaces induced, two are most important for classification and representation of patterns. We call these Identity Space and Variation Space. We show that only the between-class variation remains in Identity Space, and only the within-class variation remains in Variation Space. Both spaces can be used for decomposition and representation of class data. Moreover, we give sufficient conditions for these spaces to exist. Finally, we also run experiments to show how Identity and Variation Spaces may be used for classification and image synthesis. ©2009 IEEE.

关键词： pattern recognition

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Gyral Folding pattern Analysis via Surface Profiling

引用

12th international conference on Medical Image computing and Computer-Assisted Intervention (MICCAI2009)

作者： Li, Kaiming Guo, Lei Li, Gang Nie, Jingxin Faraco, Carlos Zhao, Qun Miller, Stephen Liu, Tianming Northwestern Polytech Univ Sch Automat Xian 710072 Peoples R China Univ Georgia Dept Comp Sci Athens GA 30602 USA Univ Georgia Bioimaging Res Ctr Athens GA 30602 USA Univ Georgia Bioimaging Res Ctr Dept Psychol Athens GA 30602 USA Univ Georgia Bioimaging Res Ctr Dept Phys & Astron Athens GA 30602 USA

ISBN: (纸本)9783642042676

Human cortical folding pattern has been Studied for decades. this paper proposes a gyrus scale folding pattern analysis technique via cortical surface profiling. Firstly, we sample the cortical Surface into 2D profiles and model them using power function. this step provides both the flexibility of representing arbitrary shape by profiling and the compactness of representing shape by parametric modeling. Secondly, based on the estimated model parameters, we extract affine-invariant features on the cortical Surface and apply the affinity propagation Clustering algorithm to parcellate the cortex into regions with different shape patterns. Finally, a second-round surface profiling is performed on the parcellated cortical regions, and the number of hinges is detected to describe the gyral folding pattern. Experiments demonstrate that our method could successfully classify human gyri into 2-hinge, 3-hinge and 4-hinge gyri. the proposed method has the potential to significantly contribute to automatic segmentation and recognition of cortical gyri.

关键词： Clustering algorithms

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Improving hybrid flash-disk storage by incorporating sequential pattern mining into fully-associative sector translation†

Improving hybrid flash-disk storage by incorporating sequent...

引用

7th IEEE/IFIP international conference on Embedded and Ubiquitous computing, EUC 2009

作者： Yoon, Un-Keun Kim, Han-Joon School of Electrical and Computer Engineering University of Seoul Korea Republic of

ISBN: (纸本)9780769538235

In this paper, we present a new way of improving hybrid flash-disk storage systems by intelligently prefetching file objects with sequential pattern mining technique. Our ultimate goal is to minimize overall file I/O processing time of hybrid storage systems with the 'fully associated sector translation' (FAST) technique that is known to be the best mapping method in managing flash memory. the FAST assumes that the flash memory space consists of log blocks and data blocks. Since the FAST technique can effectively handle sequential accesses while highly utilizing log block space, it is very significant to further enhance the system performance of the hybrid storage when applying FAST to it. In our work, the hybrid storage uses the flash memory as a cache space. With this memory architecture, we focus on prefetching file objects onto sequential log blocks to be accessed in the near future through sequential pattern mining. through intensive experiments using UCC data and synthetic data, we show that the proposed prefetching method contributes to improving the performance of the hybrid storage. © 2009 IEEE.

关键词： Flash memory

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Scalable apriori-based frequent pattern discovery

Scalable apriori-based frequent pattern discovery

引用

2009 international conference on Computational Science and Engineering, CSE '09

作者： Chester, Sean Sandler, Ian thomo, Alex University of Victoria Victoria MN Canada

ISBN: (纸本)9780769538235

Frequent pattern discovery, the task of finding sets of items that frequently occur together in a dataset, has been at the core of the field of data mining for the past sixteen years. In that time, the size of datasets has grown much faster than has the ability of existing algorithms to handle those datasets. Consequently, improvements are needed. In this paper we take the classic algorithm for the problem, A Priori, and by adding a vertical sort drastically improve its performance characteristics when processing very large data sets. We use the benchmark large dataset webdocs from the FIMI 2004 conference to contrast our performance against several state-of-the-art implementations and demonstrate both equal efficiency with lower memory usage at all support thresholds and also the ability to mine support thresholds as yet unattempted in literature. We also indicate how this work can be extended to achieve yet more impressive results.

关键词： Data mining

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Improving Pit-pattern Classification of Endoscopy Images by a Combination of Experts

引用

12th international conference on Medical Image computing and Computer-Assisted Intervention (MICCAI2009)

作者： Haefner, Michael Gangl, Alfred Kwitt, Roland Uhl, Andreas Vecsei, Andreas Wrba, Friedrich Med Univ Vienna Dept Gastroenterol & Hepatol Vienna Austria Salzburg Univ Dept Comp Sci Salzburg Austria Med Univ Vienna Dept Clin Pathol Vienna Austria St Anna Childrens Hosp Vienna Austria

ISBN: (纸本)9783642042676

the diagnosis of colorectal cancer is usually supported by a staging system, such as the Duke or TNM system. In this work we discuss computer-aided pit-pattern classification of surface structures observed during high-magnification colonoscopy in order to support dignity assessment of colonic polyps. this is considered a quite promising approach because it allows in vivo staging of colorectal lesions. Since recent, research work has shown that the characteristic surface structures of the colon mucosa exhibit texture characteristics, we employ a set of texture image features in the wavelet-domain and propose a novel classifier combination approach which is similar to a combination of experts. the experimental results of our work show superior classification performance compared to previous approaches on both a two-class (non-neoplastic vs. neoplastic) and a more complicated six-class (pit-pattern) classification problem.

关键词： Endoscopy

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