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Automatic text extraction in digital videos using FFT and neural network

引用

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Byung Tae Chun Younglae Bae Tai-Yun Kim Image Processing Department Computer & Software Technology Laboratory Electronics and Telecommunications Research Institute Daejeon South Korea Department of Computer Science and Engineering Korea University Seoul South Korea

ISBN: (纸本)0780354060

Popular methods for extracting a text region in video images are in general based on analysis of a whole image such as merge and split method, and comparison of two frames. Thus, they take long computing time due to the use of a whole image. Therefore, this paper suggests the faster method of extracting a text region without processing a whole image. The proposed method uses line sampling methods, FFT and neural networks in order to extract texts in real time. In general, text areas are found in the higher frequency domain, thus, can be characterized using FFT. The candidate text areas can be thus found by applying the higher frequency characteristics to neural network. Therefore, the final text area is extracted by verifying the candidate areas. Experimental results show a perfect candidate extraction rate and about 92% text extraction rate. The strength of the proposed algorithm is its simplicity, real-time processing by not processing the entire image, and fast skipping of the images that do not contain a text.

关键词： Intelligent networks Videos Neural networks Frequency domain analysis Data mining image analysis Optical character recognition software Text recognition Layout image processing

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Caption segmentation method in videos using isodata clustering of topographical features

Caption segmentation method in videos using isodata clusteri...

引用

IEEE Region 10 International Conference TENCON

作者： Byung Tae Chun Yonglae Bae Tai-Yun Kim Image Processing Department Computer & Software Technology Laboratory Electronics and Telecommunications Research Institute Taejon South Korea Department of Computer Science and Engineering Korea University Seoul South Korea

Conventional caption extraction approaches often use a spatial variance method or a color reduction method such as color histogram and color quantization. These methods are time-consuming and restrict the colors for extracting captions. In this paper we propose a method that extracts caption areas using TFs (topographical features) and isodata color clustering. After extracting TFs points using the topographical characteristics of characters, the isodata clustering method is used to cluster the similar colors. The point-line-region method is used to construct the blocks for each of the clustered groups. Constructed blocks are verified and candidate areas are decided. Caption regions are determined by testing several conditions and verifying those candidate areas. Experimental results show that the candidate region extraction rate is 100%, and the character region extraction rate is 98%.

关键词： Videos Color Data mining image segmentation Testing image processing Telecommunication computing Software computer science Histograms

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A computer algorithm for cancer recognition on ultrasound images of prostate tissue

A computer algorithm for cancer recognition on ultrasound im...

引用

International Conference on Information Intelligence and Systems

作者： E.A. Yfantis T. Lazarakis G. Bebis G.M. Gallitano Image Processing Laboratory Computer Science Department University of Nevada Las Vegas USA Computer Science Department University of Nevada Reno NV USA Department of Mathematics West Chester University West Chester PA USA

An improvement of our previous computer algorithm of cancer recognition of ultrasound images is developed. In order for cancer to survive it develops its own blood supply system, which is different than the supply system of normal tissue. The velocity of the blood flowing through the cancerous blood vessels is different than the velocity of the blood flowing through blood vessels of normal tissue. Due to this fact, the ultrasound signal is absorbed differently in the cancerous areas than in the normal tissue areas. The energy of the signal, the continuity of the signal, autocorrelation function, and frequency domain properties are different in the normal tissue than in cancerous tissue. All these indicators are used for classifying the image of the tissue as being cancerous or non cancerous.

关键词： Cancer image recognition Ultrasonic imaging Pixel Acoustic noise Biomedical imaging computer science Blood vessels X-rays Back

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Text extraction in videos using topographical features of characters

引用

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

ISBN: (纸本)0780354060

Traditional character extraction methods use split-and-merge or color segmentation methods from the whole image. These methods do not reflect characteristics of characters such that character regions can be extracted incorrectly. In this paper, we use topographical features of characters to extract the character points and use the density of those points to extract the candidate regions for captions. Character regions are determined by testing several conditions and verifying those candidate regions. Experimental results show that the candidate region extraction rate is 100%, and the character region extraction rate is 99%. Non-character regions can exist within the extracted character regions which are removed using the Isodata color clustering method.

关键词： Videos Data mining Testing image retrieval Shape Information retrieval Text recognition Optical character recognition software image processing Telecommunication computing

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Human computer interface for gesture-based editing system

Human computer interface for gesture-based editing system

引用

International Conference on image Analysis and processing

作者： Ho-Sub Yoon Byung-Woo Min Jung Soh Young-Iae Bae Hyun Seung Yang Department of Computer Science Korea Advanced Institute of Science and Technology Daejeon South Korea Image Processing Division Computer Software Technology Laboratory ETRI Daejeon South Korea

The use of hand gestures provides an attractive alternative to cumbersome interface devices for human-computer interaction (HCI). Many methods for hand gesture recognition using visual analysis have been proposed such as syntactical analysis, neural networks (NN), hidden Markov models (HMM) and so on. In our research, a HMM is proposed for alphabetical hand gesture recognition. In the preprocessing stage, the proposed approach consists of three different procedures for hand localization, hand tracking and gesture spotting. The hand location procedure detects the candidated regions on the basis of skin-color and motion in an image. The hand tracking algorithm finds the centroid of a moving hand region, connects those centroids, and thus, produces a trajectory. The spotting algorithm divides the trajectory into real and meaningless gestures. In constructing a feature database, the proposed approach uses the location, angle and velocity feature code, and employ a k-means algorithm for the codebook of the HMM. In our experiments, 2400 trained gestures and 2400 untrained gestures are used for training and testing, respectively. Those experimental results demonstrate that the proposed approach yields a higher and satisfying recognition rate with various gestures.

关键词： computer interfaces Hidden Markov models image recognition Graphics image processing Human computer interaction Cameras Context modeling image color analysis Application software

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A wavelet based stereo image coding algorithm

A wavelet based stereo image coding algorithm

引用

International Conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Qin Jiang Joon Jae Lee M.H. Hayes Center for Signal and Image Processing School of Electrical & Computer Engineering Georgia Institute of Technology Atlanta GA USA Department of Computer Engineering Dong Seo University busan South Korea

Stereo image pair coding is an important issue in stereo data compression. A wavelet based stereo image pair coding algorithm is proposed in this paper. The wavelet transform is used to decompose the image into an approximation image and three edge images. In the wavelet domain, a disparity estimation technique is developed to estimate the disparity field using both approximation image and edge images. To improve the accuracy of estimation of wavelet images produced by the disparity compensation technique, a novel wavelet based subspace projection technique (SPT) is developed. In the SPT, the block dependent subspaces are constructed using block varying basis vectors that are derived from the disparity compensated wavelet images. Experimental results show that the proposed algorithm is efficient to achieve stereo image compression.

关键词： image coding Wavelet domain Wavelet transforms Layout image storage Decoding Wavelet analysis Signal processing image processing Data compression

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Efficient and effective similar shape retrieval

Efficient and effective similar shape retrieval

引用

IEEE International Conference on Multimedia Computing and Systems (ICMCS)

作者： Jia Wang W. Chang R. Acharya Image and Video Processing Group LG Electronics Research Center of America Inc. NJ USA Department of Computer Engineering Rochester Institute of Technology Rochester NY USA Department of Electrical and Computer Engineering State University of New York Buffalo NY USA

We present the design and implementation of a content based retrieval system which achieves efficient and effective similar shape retrieval using a modified geometric hashing technique. The system contains four main components: a feature acquisition module, a query manager, a search engine, and a hash table. The hash table houses the feature information. The query manager accepts the user query and extracts contours from the query image. The feature acquisition module transforms and quantizes the image contours and formulates the hash table entries. Given a visual query, the search agent derives a list of potentially similar shape images by searching the hash table using a majority voting algorithm. Extensive experiments have been conducted to demonstrate that the proposed designs offer a viable and practical approach to similar shape retrieval.

关键词： Shape Information retrieval image retrieval Spatial databases Content based retrieval Search engines Visual databases image databases Architecture Data mining

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Anisotropic diffusion as a preprocessing step for efficient image compression

Anisotropic diffusion as a preprocessing step for efficient ...

引用

International Conference on Pattern Recognition

作者： T. Sziranyi I. Kopilovic B.P. Toth Analogical and Neural Computing Laboratory Computer and Automation Institute Hungarian Academy of Sciences Budapest Hungary Department of Image Processing & Neurocomputing University of Veszprem Veszprem Hungary

Anisotropic diffusion is an image enhancement method. It is a nonlinear process which removes noise and irrelevant details while preserving the edges, i.e. it "extracts" the essential visual information. The paper proposes a useful application of anisotropic diffusion in image data compression. We argue that for high compression an anisotropic diffusion preprocessing results in better quality of the decoded image.

关键词： Anisotropic magnetoresistance image coding image processing Transform coding Space heating Equations Laboratories Automation Time of arrival estimation Data mining

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Twin-image removal by digital filtering and optical scanning holography

Twin-image removal by digital filtering and optical scanning...

引用

Southeastern Symposium on System Theory

作者： Taegeun Kim Ting-Chung Poon G. Indebetouw Optical Image Processing Laboratory Bradely Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State University Blacksburg VA USA Physics Department Virginia Polytechnic Institute and State University Blacksburg VA USA

We propose an adjusted digital filtering method to overcome the Nyquist limitation of the iterative algorithm used to eliminate the twin image and demonstrate its advantages over existing algorithms. We also have appl... 详细信息

关键词： Optical filters Holographic optical components Digital filters Filtering Holography image reconstruction Bandwidth Optical noise Optical recording Convolution

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Video segmentation of MPEG compressed data

Video segmentation of MPEG compressed data

引用

IEEE International Conference on Electronics, Circuits and Systems (ICECS)

作者： I. Koprinska S. Carrato Indian Institute of Technology Bangalore Sofia Bulgaria Department of Electrical Engineering and Computer Science (D.E.E.I.) Image Processing Laboratory University of Trieste Trieste Italy

An approach for parsing MPEG compressed video into shots and sub-shots based only on the macroblock (MB) and motion vector (MV) information is presented. The system follows a two-pass scheme and has a hybrid rule-based/neural structure. A rough scan over the P frames locates the potential shot boundaries and the solution is then refined by a precise scan over the B frames of the respective neighborhoods. The "simpler" boundaries are recognized by the rule-based module, while the decisions for the "complex" ones are refined by the neural part. The latter is also used to distinguish dissolves from object and camera motions and to break the shots into sub-shots. The experiments demonstrate high speed and accuracy in shot detection and their characterization.

关键词： Video compression Transform coding Cameras image coding image reconstruction image segmentation Gunshot detection systems Histograms image processing Laboratories

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