• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.3
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• pp.539-557
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• 2013

A novel multifocus image fusion algorithm based on NSCT is proposed in this paper. In order to not only attain the image focusing properties and more visual information in the fused image, but also sensitive to the human visual perception, a local multidirection variance (LEOV) fusion rule is proposed for lowpass subband coefficient. In order to introduce more visual saliency, a modified local contrast is defined. In addition, according to the feature of distribution of highpass subband coefficients, a direction vector is proposed to constrain the modified local contrast and construct the new fusion rule for highpass subband coefficients selection The NSCT is a flexible multiscale, multidirection, and shift-invariant tool for image decomposition, which can be implemented via the atrous algorithm. The proposed fusion algorithm based on NSCT not only can prevent artifacts and erroneous from introducing into the fused image, but also can eliminate 'block effect' and 'frequency aliasing' phenomenon. Experimental results show that the proposed method achieved better fusion results than wavelet-based and CT-based fusion method in contrast and clarity.

• Journal of Broadcast Engineering
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• v.5 no.1
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• pp.31-40
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• 2000

In this paper, we propose an edge histogram to efficiently represent the edge distribution in the image for MPEG-7. To this end, we adopt global, semi-global, and local edge histogram bins. Also, we extract the edge information from the image in terms of image blocks rather than pixels, which reduces the extraction complexity and is also applicable to the block-based compression standards such as MPEG-1, and 2. Experimental results show that the proposed method yields better retrieval accuracy and feature extraction speed comparing to other non-homogeneous texture descriptors of MPEG-7 including the wavelet-based descriptor and local edge-based descriptor.

• International Journal of Contents
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• v.11 no.2
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• pp.15-19
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• 2015

In this paper, we propose an efficient document layout analysis algorithm that includes table detection. Typical methods of document layout analysis use the height and gap between words or columns. To correspond to the various styles and sizes of documents, we propose an algorithm that uses the mean value of the distance transform representing thickness and compare with components in the local area. With this algorithm, we combine a table detection algorithm using the same feature as that of the text classifier. Table candidates, separators, and big components are isolated from the image using Connected Component Analysis (CCA) and distance transform. The key idea of text classification is that the characteristics of the text parallel components that have a similar thickness and height. In order to estimate local similarity, we detect a text region using an adaptive searching window size. An improved adaptive run-length smoothing algorithm (ARLSA) was proposed to create the proper boundary of a text zone and non-text zone. Results from experiments on the ICDAR2009 page segmentation competition test set and our dataset demonstrate the superiority of our dataset through f-measure comparison with other algorithms.

• The Bulletin of The Korean Astronomical Society
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• v.37 no.2
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• pp.116.2-116.2
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• 2012

The structure of plasmasphere plays an important role in determining properties of geomagnetic ULF pulsations such as Pi 2 pulsations and field line resonances (FLRs) in the Earth's magnetosphere. We have performed a 3-D MHD wave simulation to investigate the generation and propagation of ULF waves in dipole geometry. Various 3-D density structures are assumed, which include a relatively sharp density gradient and gradually less slopes at the plasmapause. The former condition can refer to the plasmasphere from local midnight to dawn, whereas the latter represents the region near noon to dusk where it bulges out. We show how Pi 2 pulsations and FLRs differentially appear at both multi-point satellite locations and ground stations for different local times. Our results suggest that 1) the local radial density structure significantly affects the peak frequencies for Pi 2 oscillations, while the polarization changes remain similar in the radial direction, and 2) the radial location of strong FLRs varies for different density profiles. It is also suggested how multi satellite measurements and ground-based observations can confirm this differential feature in space.

• Journal of Information Processing Systems
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• v.16 no.1
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• pp.201-209
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• 2020

The graph data structure is popular because it can intuitively represent real-world knowledge. Graph databases have attracted attention in academia and industry because they can be used to maintain graph data and allow users to mine knowledge. Mining reachability relationships between two nodes in a graph, termed reachability query processing, is an important functionality of graph databases. Online traversals, such as the breadth-first and depth-first search, are inefficient in processing reachability queries when dealing with large-scale graphs. Labeling schemes have been proposed to overcome these disadvantages. The state-of-the-art is the 2-hop labeling scheme: each node has in and out labels containing reachable node IDs as integers. Unfortunately, existing 2-hop labeling schemes generate huge 2-hop label sizes because they only consider local features, such as degrees. In this paper, we propose a more efficient 2-hop label size reduction approach. We consider the topological sort index, which is a global feature. A linear combination is suggested for utilizing both local and global features. We conduct experiments over real-world and synthetic directed acyclic graph datasets and show that the proposed approach generates smaller labels than existing approaches.

• Journal of the Korea Society of Computer and Information
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• v.14 no.11
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• pp.73-79
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• 2009

In this paper, a method is proposed that enhances the performance of the facial expression recognition using template matching of Local Binary Pattern(LBP) histogram. In this method, the face image is segmented into blocks, and the LBP histogram is constructed to be used as the feature of the block. Block dissimilarity is calculated between a block of input image and the corresponding block of the model image. Image dissimilarity is defined as the weighted sum of the block dissimilarities. In conventional methods, the block weights are assigned by intuition. In this paper a new method is proposed that optimizes the weights from training samples. An experiment shows the recognition rate is enhanced by the proposed method.

• Cartoon and Animation Studies
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• s.41
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• pp.153-168
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• 2015

In Kyung-GI DO, An-sung, Each local autonomous entity developed the character design to inform the public relations and revitalize local economy and culture. consequently, These have got benefits with marketing local speciality related to their an-sung character; we call it name is arum, pung-mul, duck-bugi who korea traditional face characters. On the contrary, Most of old characters which have been fallen off their formative qualities became a reason that unfit (4D,3D) special film at local doom movie theater. This thesis aims to study on the character of 'namsadang' group what have been produced in ansung-si, that the show up to people about an-sung 4D Contents what local actually character and to make it more competitive through 3D,4D spacial character project developing process. It is need for new various characters, that (3D,4D-VFX) -Graphics of new an-sung'namsadang' group. that will be total different and new development. total VFX; 4-Dimantion visual graphics released in next an-sung local festival, Business prospects are bright and receiving benefits are increasing. As seen in the case of the character of in 2015, it can be a measure to earn benefits as a higher value-added business if it is managed in the local autonomous entities. In this thesis, I propose what the of character in the local special graphics; VFX style characters design. also I was show up to '4D contents character;' ; 'namsadang' group; creative processing including planing. It is possible to be ranged from special 4D series animation, a feature-length special effct cartoon film, character products, and even local doom Theme parks show up film. which are all expected high profits. These profits will be returned back to the an-sung local autonomous entity, who can use them to develop new contents, one of foundations in local economy. As a result, it is helpful to make local traits and effective tourist attractions.

• Journal of the Korea Computer Graphics Society
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• v.16 no.1
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• pp.1-7
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• 2010

With the widespread use of vision-based surveillance systems, the capability for person identification is now an essential component. However, the CCTV cameras used in surveillance systems tend to produce relatively low-resolution images, making it difficult to use face recognition techniques for person identification. Therefore, an algorithm is proposed for person identification in CCTV camera images based on the clothing. Whenever a person is authenticated at the main entrance of a building, the clothing feature of that person is extracted and added to the database. Using a given image, the clothing area is detected using background subtraction and skin color detection techniques. The clothing feature vector is then composed of textural and color features of the clothing region, where the textural feature is extracted based on a local edge histogram, while the color feature is extracted using octree-based quantization of a color map. When given a query image, the person can then be identified by finding the most similar clothing feature from the database, where the Euclidean distance is used as the similarity measure. Experimental results show an 80% success rate for person identification with the proposed algorithm, and only a 43% success rate when using face recognition.

• Journal of KIISE
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• v.41 no.9
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• pp.666-673
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• 2014

This paper proposes a scalable face recognition method for unconstrained face databases, and shows a simple experimental result. Existing face recognition research usually has focused on improving the recognition rate in a constrained environment where illumination, face alignment, facial expression, and background is controlled. Therefore, it cannot be applied in unconstrained face databases. The proposed system is face feature extraction algorithm for unconstrained face recognition. First of all, we extract the area that represent the important features(landmarks) in the face, like the eyes, nose, and mouth. Each landmark is represented by a high-dimensional LBP(Local Binary Pattern) histogram feature vector. The multi-scale LBP histogram vector corresponding to a single landmark, becomes a low-dimensional face feature vector through the feature reduction process, PCA(Principal Component Analysis) and LDA(Linear Discriminant Analysis). We use the Rank acquisition method and Precision at k(p@k) performance verification method for verifying the face recognition performance of the low-dimensional face feature by the proposed algorithm. To generate the experimental results of face recognition we used the FERET, LFW and PubFig83 database. The face recognition system using the proposed algorithm showed a better classification performance over the existing methods.

• Journal of architectural history
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• v.24 no.4
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• pp.29-44
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• 2015

Coastal eupseongs, which are mainly built in the period of late Goryeo and early Joseon period, are essential materials in studying the history of Joseon period eupseongs. The purpose of this study is to connect the annexation of local districts with the relocation of local government office, so as to categorize the types of coastal-eupseongs and examine the background of their constructions and relocations. Coastal eupseongs are mainly divided into 'maintenance type' and 'Mergence type' according to the annexation of local districts, and maintenance type is broken down into fortress type and non-fortress type in accordance with the existence of old eupseongs(fortresses). Coastal eupseongs can also be categorized into 'application type' and 'relocation type' depending on whether ex-local government offices were reutilized or relocated. Maintenance type is 'fortress-application type'(Gimhae Gosung Old Ulsan-eupseong), 'non-fortress-application type'(New Ulsan-eupseong), 'fortress-relocation type'(Dongrae Kijang Geojegohyunseong Ulsan(Jwabyeongyoung)-eupseong), 'non-fortress-relocation type'(Sacheon Hadong Jinhae-eupseong Geojesadeongseong) are differentiated by type. Mergence type is divided into 'Merger of Villages after Castle Relocation Type(Changwon Namhae Gonyang-eupseong)', 'Merger of Villages before Castle Relacation Type(Ungcheon-eupseong)'. Coastal-eupseongs are moved to other places in need of more affluent water supply(Gimhae Gijang-eupseong) and wider usable area(Namhae Gohyunseong-eupseong). Eupseongs were enlarged owing to the population growth, caused by annexations of local districts.(Ungcheon-eupseong) 'Seonso'(navy yard) is a unique feature which cannot be seen in inland eupseongs.