• Journal of architectural history
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• v.11 no.4 s.32
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• pp.71-86
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• 2002

Since Modern period which is characterized by the governing of technology and capitalism, the production and aesthetics of building became a main issue of architectural discourse. Morever, Modern architecture tends to be a kind of media in which the visual image of building plays a far more important role than building itself. Institutionalized discipline of Architecture in modern system set aside the dwelling aspect of building and destructed close relationship between dwelling and building. This study analyzes the essential meaning of dwelling with a viewpoint of building and vise virsa in order to have a deep reflection on contemporary architecture and modern crisis of dwelling. For this purpose this study first reviewed linguistic and mythical narratives on the origin of dwelling and building. Secondly, reviewed the thought of Heidegger on dwelling and building and his thinking on authenticity of dwelling. Thirdly, reviewed drastic change of idea and reality of dwelling recent days, especially from settlement to nomad. Lastly reviewed E. Levinas' thinking on bodily dwelling or primordial mode of dwelling before poetic dwelling of Heidegger. With these review we can figure out following things on dwelling and building. Physical building or its visual image can not take the place of dwelling in itself. Dwelling and Building happens simultaneously and understood as an event in life world. Today's alienation of dwelling from building reduced our conception of architecture to a physical setting and mere technique. Building must be a ontological and cultural phenomenon beyond physical building. Nomad in this age of information and globalization may be a new mode of dwelling. But it can not exclude traditional way of dwelling on concrete space, because human being as a physical being can not abandon dwelling place that gives a primordial comfort with and within our body.

• The Journal of Information Technology
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• v.4 no.2
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• pp.69-81
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• 2001

In this paper, we examine work in the evolution of content-based retrieval systems that rely on an intelligent infrastructure. Here, we refer to intelligence as the capabilities of the systems to build and maintain situational or world models, utilize dynamic knowledge representations, exploit context and overage advanced reasoning and learning capabilities. We argue that these elements are essential to producing effective systems for retrieving visual information at semantic levels matching those of human perception and cognition. In this paper, we review relevant research on the understanding of human intelligence and construction of intelligent systems in the fields of cognitive psychology, artificial intelligence, semiotics. We also discuss how some of the principal ideas from these fields lead to new opportunities and capabilities for content-based retrieval systems. Finally, we discribe some of our efforts in these directions. In particular, we present MediaNet, a multimedia knowledge presentation framework that facilitate and enable intelligent content-based retrieval.

• Journal of Broadcast Engineering
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• v.13 no.6
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• pp.951-961
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• 2008

Cooperative diversity is a cooperative technique which exploits user diversity by decoding the combined signal of the relayed signal and the direct signal in wireless multi-hop networks. Using the cooperation, the performance of the network system can be improved because cooperative diversity which is very strong against the fading channels can be achieved. In this paper, we propose the technique that provides the enhanced visual quality of the reconstructed video using the cooperative diversity with the FMO which is the error resilience tool of H.264/AVC standardization over wireless networks. The eye-tracker can detect the gaze point of user and transmit the gaze information to the nodes. After receiving the gaze information of user, each node performs ROI encoding according to the received gaze information. After encoding, video sources are divided into ROI and Non-ROI. Through the simulation results, the better visual quality of the reconstructed video is achieved when ROI and Non-ROI are transmitted through different channels.

• Journal of architectural history
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• v.15 no.2
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• pp.39-54
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• 2006

Focusing on the emergence of the basic course in American schools of architecture, in particular Gyorgy Kepes' courses at MIT, this paper studies the transformation of architectural pedagogy during the years after World War II. Kepes centered his architectural pedagogy on the picture plane, which was to function as the primary media for applying the principles of Gestalt psychology, that is the identification of the whole and its parts and the reciprocity between the internal human organism and the outside world. Kepes hence introduced a set of unconventional visual practices that were not readily assimilated to architectural conventions. Paralleling the establishment of the basic course, MIT also formulated a functionalist and spatial pedagogy with its two initial design studios, courses 4.721 and 4.722. These studios shared the notion that architectural design evolved from the inside toward the outside, an idea that took hold not just in the pragmatic environment of MIT's studios but also in conservative academic programs as well as in popular magazines, picture books, and exhibitions for the consumer public. The architectural surface became inseparable from the objects of art, furniture, and design, all of which were to be the generators of space. Hence, during the 1950s, the architectural surface provided a specific locus of intersection between the visual fundamentals of the basic course and the working principles of architectural design. Kepes, however, had by this time become disillusioned with architecture's potential as the medium of unity. Though he maintained the Gestalt logic of identity, he expanded it toward the goal of grander synthesis of society and consciousness freeing himself from the constraints of disciplinary instruction. In the case of Kepes, the mediating role of the picture plane was foregone in a regressive turn toward a primal, innocent, and direct experience.

• Journal of the Korea Society of Computer and Information
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• v.16 no.4
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• pp.15-22
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• 2011

Principal component analysis (PCA) is a well-known method for dimensionality reduction and feature extraction while maintaining most of the variation in data. Although PCA has been applied in many areas successfully, it is sensitive to outliers and only valid for Gaussian distributions. Several variants of PCA have been proposed to resolve noise sensitivity and, among the variants, improved robust fuzzy PCA (RF-PCA2) demonstrated promising results. RF-PCA, however, is still a linear algorithm that cannot accommodate non-Gaussian distributions. In this paper, a non-linear algorithm that combines RF-PCA2 and kernel PCA (K-PCA), called improved robust kernel fuzzy PCA (RKF-PCA2), is introduced. The kernel methods make it to accommodate non-Gaussian distributions. RKF-PCA2 inherits noise robustness from RF-PCA2 and non-linearity from K-PCA. RKF-PCA2 outperforms previous methods in handling non-Gaussian distributions in a noise robust way. Experimental results also support this.

• Journal of the Korea Society of Computer and Information
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• v.16 no.1
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• pp.39-46
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• 2011

Clustering is one of the well-known unsupervised learning methods, in which a data set is grouped into some number of homogeneous clusters. There are numerous clustering algorithms available and they have been used in various applications. Fuzzy c-means (FCM), the most well-known partitional clustering algorithm, was established in 1970's and still in use. However, there are some unsolved problems in FCM and variants of FCM are still under development. In this paper, the problems in FCM are first explained and the available solutions are investigated, which is aimed to give researchers some possible ways of future research. Most of the FCM variants try to solve the problems using domain knowledge specific to a given problem. However, in this paper, we try to give general solutions without using any domain knowledge. Although there are more things left than discovered, this paper may be a good starting point for researchers newly entered into a clustering area.

• Journal of Broadcast Engineering
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• v.15 no.5
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• pp.697-702
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• 2010

Contour artifact is known as the unintentional result of quantizing a flat area that has smooth gradients. In this letter, a decontouring algorithm is proposed to efficiently remove false contours that occur in typical block-based video coding applications. First, the algorithm goes through a refinement stage to determine candidate blocks probably having noticeable false contours with different kinds of features in a block. Then, pseudo-random noise masking is applied to those blocks to mitigate the contour artifacts. This block-based selective decontouring can efficiently remove the unnecessary processing of those blocks that have no false contour, which incidentally ensures a minor penalty in visual quality and computational complexity. The proposed algorithm was demonstrated, integrated into H.264/AVC, that visual quality can be significantly enhanced with an ignorable rate-distortion (RD) loss and an minor increase in computational complexity.

• Journal of Broadcast Engineering
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• v.13 no.3
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• pp.339-349
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• 2008

We present a novel method to estimate the light source direction and relight a face texture image of a single 3D model under arbitrary unknown illumination conditions. We create a virtual irradiance sphere to detect the light source direction from a given illuminated texture image using both normal vector mapping and weighted bilinear interpolation. We then induce a relighting equation with estimated ambient and diffuse coefficients. We provide the result of a series of experiments on light source estimation, relighting and face recognition to show the efficiency and accuracy of the proposed method in restoring the shading and shadows areas of a face texture image. Our approach for face relighting can be used for not only illuminant invariant face recognition applications but also reducing visual load and Improving visual performance in tasks using 3D displays.

• Journal of Broadcast Engineering
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• v.13 no.4
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• pp.440-451
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• 2008

With the advent of IP-based multimedia service based on IP network, there is a rapidly increasing demand for IPTV. Unlike the previous coaxial cable based TV, IPTV provides a variety of convergence services based on IP newark. However, since the IPTV service quality is a lot affected by the network degradation such as packet loss and jitter, it may not be guaranteed. In this paper, we propose an objective measure for various degradations of IPTV-based videos considering subjective assessment. To this end, we first determine QoE(Quality of Experience) indicators, which can affect human visual perception. Then we develop the video quality metric for each QoE indicator. Subjective assessment based on MOS is conducted and used to construct mapping relationship between each measure and perceived visual quality. Experiments are performed on various videos to confirm the efficiency and robustness of the proposed method and show high correlation with subjective assessment.

• Journal of Broadcast Engineering
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• v.18 no.2
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• pp.319-322
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• 2013

Image retrieval research activity has moved its focus from global descriptors to local descriptors of feature point such as SIFT. MPEG is Currently working on standardization of effective coding of location and local descriptors of feature point in the context mobile based image search driven application in the name of MPEG-7 CDVS (Compact Descriptor for Visual Search). The extracted feature points consist of two parts, location information and Descriptor. For efficient image retrieval, we proposed a novel method that is gradual block-based efficient lossy location coding to compress location information according to distribution in images. From experimental result, the number of average bits per feature point reduce 5~6% and the accuracy rate keep compared to state of the art TM 3.0.