• Journal of Korea Multimedia Society
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• v.25 no.10
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• pp.1475-1482
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• 2022

Mickey Mousing perfect match between animation sound and image was an aesthetic in the field of animation, but since the 2000s, works such as and released by producers such as DreamWorks and Pixar have expanded the perfection of synchronization to irony. It also influenced the identification system of sentiment. It is time to view the directing attempt of these elements as a factor that changed the new paradigm of narrative, and related research is needed. In this study, the scene of was analyzed as a case study for the synchronization of animation sound and image components and the boundary direction on the recognition of identification between reality and fiction. Aesthetic recognition of the research work is based on the premise of real time and space perception, and the audience can recognize in the conceptual world as an integrated art by playfully producing fictional time and space. The direct antithesis of synchronization and identification was drawn to maintain the curiosity of the next scene by repeating selective concealment and disclosure of information in the direction of conveying an unfamiliar and heterogeneous feeling to the audience.

• Journal of Information Processing Systems
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• v.12 no.4
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• pp.591-611
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• 2016

High dimensional space is the biggest problem when classification process is carried out, because it takes longer time for computation, so that the costs involved are also expensive. In this research, the facial space generated from homogeneous and non-homogeneous polynomial was proposed to extract the facial image features. The homogeneous and non-homogeneous polynomial-based eigenspaces are the second opinion of the feature extraction of an appearance method to solve non-linear features. The kernel trick has been used to complete the matrix computation on the homogeneous and non-homogeneous polynomial. The weight and projection of the new feature space of the proposed method have been evaluated by using the three face image databases, i.e., the YALE, the ORL, and the UoB. The experimental results have produced the highest recognition rate 94.44%, 97.5%, and 94% for the YALE, ORL, and UoB, respectively. The results explain that the proposed method has produced the higher recognition than the other methods, such as the Eigenface, Fisherface, Laplacianfaces, and O-Laplacianfaces.

• Journal of Korea Multimedia Society
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• v.14 no.7
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• pp.866-871
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• 2011

In this paper, an improved method of hand detecting and hand gesture recognition is proposed, it can be applied in different illumination condition and complex background. We use Adaptive Skin Threshold (AST) to detect the areas of hand. Then the result of hand detection is used to hand recognition through the improved HMM algorithm. At last, we design a simple program using the result of hand recognition for recognizing "stone, scissors, cloth" these three kinds of hand gesture. Experimental results had proved that the hand and gesture can be detected and recognized with high average recognition rate (92.41%) and better than some other methods such as syntactical analysis, neural based approach by using our approach.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.19 no.9
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• pp.1702-1709
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• 1994

In the postprocessing of Hangul recognition system, the storage structure of contextual information is an important matter for the recognition rate and speed of the entire system. Trie in general is used to represent the context as word dictionary, but the memory space efficiency of the structure is low. Therefore we propose a new structure for word dictionary that has better space efficiency and the equivalent merits of trie. Because Hangul is a compound language, the language can be represented by phonemes or by characters. In the representation by phonemes(P-mode) the retrieval is fast, but the space efficiency is low. In the representation by characters(C-mode) the space efficiency is high, but the retrieval is slow. In this paper the two representation methods are combined to form a hybrid representation(H-mode). At first an optimal level for the combination is selected by two characteristic curves of node utilization and dispersion. Then the input words are represented with trie structure by P-mode from the first to the optimal level, and the rest are represented with sequentially linked list structure by C-mode. The experimental results for the six kinds of word set show that the proposed structure is more efficient. This result is based on the fact that the retrieval for H-mode is as fast as P-mode and the space efficiency is as good as C-mode.

• Journal of Institute of Control, Robotics and Systems
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• v.9 no.2
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• pp.131-139
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• 2003

Shape descriptors play an important role in systems for object recognition, retrieval, registration, and analysis. Seven well-known descriptors including MPEG-7 visual descriptors arebriefly reviewed and a new robust pattern recognition descriptor is proposed. Performance comparison among descriptors are presented. Experiments show that the newly proposed descriptor yields better performance results than Fourier, invariant moment, and edge histogram descriptors.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1991.10a
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• pp.77-80
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• 1991

This paper proposes a new feature extraction method which is effectively used in character recognition, and validate the effectiveness through various computational methods for similiarity degree. To get feature vectors used in this method, Hough transform is applied to character image, which is used for edge extraction in image processing. By that transformation technique, strokes could be extracted and feature vectors constructed suitably. The characteristic of this method is solving the difficulties in stroke extraction through transform space analysis, which is induced by noise and blurring, and representing high recognition rate 99.3% within 10 candidates in relative low dimension.

• Korean Institute of Interior Design Journal
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• v.22 no.6
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• pp.190-198
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• 2013

With globalization and the execution of a self-governing system, the government-oriented system has been transformed into a city-oriented system. The importance of the competitive power of a city is thus increasing. Because of this each region is trying to develop its own differentiated image and to create branding using unique historical and cultural resources and, as one of the strategies for this, public spaces have been developed. For a public space to be used as a means to promote the attractiveness of a city, creates a local image and works as a medium to help a community of people realize a pleasant life. Therefore, in this study, I am clarified theoretically the meaning of placeness and form factors. and study realization methods in the space around the public space case. The results of the study are as following. In the modern space, Place is to be understood as a recognition and experience. Therefore rather than spatial structure physical fixed, recognition through the human experience is an important feature of the place-making, it is necessary to access in spatial planning based on this point of view. The factors of the placeness formation are physical environment factors, activity elements of the human, the meaning factors. and these elements form the placeness through via interaction. Therefore, even space implementation of the place, it is necessary to grasp the elements of each, as well as the physical aspects in particular, planning programmatic and various functions must be parallel strategically. There is a need to implement a space device that can be carried out in space activities.

• Korean Institute of Interior Design Journal
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• v.13 no.6
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• pp.57-65
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• 2004

The space is formed in close connection with a human life style, and whose significance is interpreted and recognized by characteristics given in the life culture to which they belong to. The spacial concept in terms of recognition plays an important role in the design of spaces. The understandings of its identity is an indispensable factor to forming the proper relation between the human beings and the space. This paper is the inquiry and the arrangement for geographical, thinking, and beauty-conscious features of Japan by the researches on documentary records in order to reveal the relationship between recognition and space as mentioned aboved. Also this paper presents the frame(system) which can draw the method of space construction and its expression and then seize and analyze the reality of space by re-arrangement for these various cultural background on the center of the relationship with Japanese spacial cognition. And this paper analyzed and arranged expressive features for Japanese spacial concepts by applying this analysis frame to contemporary commercial spaces in Japan. In results this research revealed that Japanese spacial features is always in the consciousness for cognitive space on the design of space , and in the features the neutral and several layered spaces are showed in complexed and mutual connected forms. These may be the methods for the relationship establishment between human and space on the ground of unique spacial concepts which is commonly found not only in traditional spaces but also in contemporary spaces in Japan.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.2
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• pp.113-118
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• 2011

This paper has analyzed recognizing performance depending on the size of iris codes extracting by iris recognition algorithm using scale-space filtering. The iris images were created through pre-processing, the features were extracted by scale-space filtering, and the codes of 16 sizes were generated. The generated code's performance was compared for each code to calculate FAR and FRR by matching method utilizing Hamming distance. Every code had little overlapping portion between same person and other persons group so that the proposed algorithm's superiority was proved, and the performance of iris codes was analyzed for each size focused on convenience to use when implementing in realization. In addition, the iris codes suitable to iris recognition system that is high-reliable and is able to reduce user's inconvenience due to mis-rejection has been presented considering for commercialization.

• Journal of Korea Multimedia Society
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• v.7 no.8
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• pp.1035-1045
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• 2004

In this paper, we describe a method that can recognize gestures and evaluate the degree of the gestures from sequential gesture images by using Gesture Feature Space. The previous popular methods based on HMM and neural network have difficulties in recognizing the degree of gesture even though it can classify gesture into some kinds. However, our proposed method can recognize not only posture but also the degree information of the gestures, such as speed and magnitude by calculating distance among the position vectors substituting input and model images in parametric eigenspace. This method which can be applied in various applications such as intelligent interface systems and surveillance systems is a simple and robust recognition algorithm.