• Journal of the Korea Computer Graphics Society
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• v.23 no.3
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• pp.65-75
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• 2017

As a 360-degree image carries information of all directions, it often has too much information. Moreover, in order to investigate a 360-degree image on a 2D display, a user has to either click and drag the image with a mouse, or project it to a 2D panorama image, which inevitably introduces severe distortions. In consequence, investigating a 360-degree image and finding an object of interest in such a 360-degree image could be a tedious task. To resolve this issue, this paper proposes a method to find a region of interest and produces a 2D naturally looking image from a given 360-degree image that best matches a description given by a user in a natural language sentence. Our method also considers photo composition so that the resulting image is aesthetically pleasing. Our method first converts a 360-degree image to a 2D cubemap. As objects in a 360-degree image may appear distorted or split into multiple pieces in a typical cubemap, leading to failure of detection of such objects, we introduce a modified cubemap. Then our method applies a Long Short Term Memory (LSTM) network based object detection method to find a region of interest with a given natural language sentence. Finally, our method produces an image that contains the detected region, and also has aesthetically pleasing composition.

• The Journal of Information Technology and Database
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• v.1 no.1
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• pp.31-62
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• 1994

Information systems for application areas like office automation, customer service or computer aided manufacturing are usually highly interactive and deal with complex document structures composed of multiple media formats. For the realization of these systems, nonstandard database systems, which we call document databases, need to handle different types of coarse-and fine-grained document objects(like full-text documents, graphics and images), hierarchical and non-hierarchical relationships between objects(like composition-links and cross-references using hypertext structures) and document attributes of different types such as formatting/presentation information and access control. In this paper, we present the underlying data model for document databases based on descriptive markup languages that provide mechanisms for specifying the logical structure(or schema) of individual documents stored in the database. We then describe extensions to the data model for supporting notion of composite structures("join" operators for documents) --composition and hyperlinking mechanisms for representing compound documents and inter-linked documents as unique entites separate from their components. Furthermore, due to the interactive nature of the application domains, the database system in conjunction with clients(or browsers) has to support visual navigation and graphical query mechanisms. We describe the functionality of a new user interface paradigm called HyBrow for meeting the above mentioned requirements. The underlying implementation strategy is also discussed.discussed.

• Proceedings of the KIEE Conference
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• 1987.07b
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• pp.1492-1494
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• 1987

This paper describes a hardware architecture called Edge Painting Machine for real time generation of scan line images for raster scan graphics display. The Edge Painting Machine consists of Scanline Processor which converts polygon data sorted in their depth priority into a set of scan line commands for each scan line, and Edge Painting Tree which converts the scanline commands set into a raster line image. Edge painting tree has been designed using combinational logic circuit. The designed circuit has been simulated to verify the proper functioning. A salient feature of the EPT is that hardware composition is simple, because each processor is constituted by only combinational logic circuit.

• Proceedings of the KIEE Conference
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• 2000.07a
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• pp.206-208
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• 2000

Manual generation of the relay setting summary could involve fatal errors which would result in the big damage to the system. This paper reports the automatic generation system of relay setting reports. Analysing the manual reports of various relays the almost unified format has been designed. The developed system utilizes the graphics and tabular format to enhance the user understanding.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.1907-1910
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• 2003

This paper describes a method of stereo image composition for mixed reality without camera calibration or complicate tracking algorithm. The proposed system tracks the panel which has blob makers, and composes virtual objects naturally using the method of texture mapping which is often used in geological computer graphics mapping when we do mapping 2D computer graphic data or man-made 2D images. The proposed algorithm makes it possible for us to compose virtual data even in the case that the panel is bent. For composing 3D object, the system uses depth information obtained from stereo image so that we do not need cumbersome procedure of camera calibration.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.11
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• pp.1472-1475
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• 1999

This paper proposes a new detection method of human faces in grey scale images with cluttered background using a facial template and elliptical structure of the human head. Face detection technique can be applied in many areas of image processing such as face recognition, composition and computer graphics, etc. Until now, many researches about face detection have been done, and applications in more complicated conditions are increasing. The existing technique proposed by Sirohey shows relatively good performance in image with cluttered background, but can apply only to image with one face and needs much computation time. The proposed method is designed to reduce complexity and be applied even in the image with several faces by introducing template matching as preprocess. The results show that the proposed method produces more correct detection rate and needs less computation time than the existing one.

• The Journal of the Korea Contents Association
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• v.11 no.6
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• pp.135-143
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• 2011

Visual effect production by computer graphics techniques has become more important in these days. However, there are three problems in the domestic contents production environments. First of all, most Korean film companies have insufficient generally potential to maintain and support their R&D (Research and Development) teams. Secondly, they are much dependent on the abroad commercial software tools. Finally, many people have to participate in the image production pipeline, called the labor-intensive pipeline. In producing a demonstration work, "The Sixty -miles-an-hour man", we have evaluated the usefulness of the developed camera tracking and image composition methods and then examined various production consideration elements. In addition, in order to develop a productive technical element and write a competitive film script, mutual understanding between the developers and the production users should be achieved. Also, this paper describes a role of the technical supervisor to direct the production environment in detail.

• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.130-137
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• 2009

TV broadcast of election returns is an index to measure a public responsibility, scientific analysis and production power in each broadcasting station. This is the reason why each broadcasting station is spending a great amount of money, mobilizing many people and using facilities. TV election returns broadcast has been advanced for decades, particularly in its production, system and presentation. And, among those, broadcast graphic and inset graphic, which are representing election-related information, have became the important components in TV broadcast of election returns because of the advancement of production technology, a variety of presentation forms, and the visual effects. In this research, I analyze the part of image composition in inset graphic of TV election returns broadcast. As a result, in making insert graphic, each broadcasting station is analyzed to be producing the accurate and clear delivery of information on the stability and reliability of a visualized form, first and foremost. It requires that we research the methodology for the accurate and reliable delivery of information, as well as various image productions with a result of the progress in production technology.

• Journal of Korea Multimedia Society
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• v.12 no.5
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• pp.677-687
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• 2009

Despite the fact that the mobile environment has favorable conditions for using data contents, it is not easy to implement enhanced data services for mobile broadcasting based on MPEG-4 BIFS. With a structure inherited from VRML, BIFS targets different types of content with a development approach that is not very compatible with broadcasting contents. Furthermore, it is not easy to implement BIFS because the standard is too complicated for the mobile broadcasting environment. Accordingly, this study proposes an enhanced mobile TV contents model that provides interactive 3D objects and GUI for the viewers to interact with the broadcasting contents. By applying the model to the DMB environment, this study suggests a direction for future developments of mobile broadcasting contents. In order to represent 3D graphics on mobile TV, we analyzed MPEG-BIFS 3D nodes and composed a subset of VRML profile, and defined new nodes that can efficiently represent GUI at the content development level. If this study helps facilitate expression of 3D graphics and interactions in data contents composition, enhanced efficiency of contents development is expected to promote the development of various contents suitable for the mobile broadcasting environment.

• Journal of the Korea Computer Graphics Society
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• v.23 no.3
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• pp.95-103
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• 2017

Horizon correction is a crucial stage for image composition enhancement. In this paper, we propose a deep learning based method for estimating the slanted angle of a photograph and correcting it. To estimate and correct the horizon direction, existing methods use hand-crafted low-level features such as lines, planes, and gradient distributions. However, these methods may not work well on the images that contain no lines or planes. To tackle this limitation and robustly estimate the slanted angle, we propose a convolutional neural network (CNN) based method to estimate the slanted angle by learning more generic features using a huge dataset. In addition, we utilize multiple adaptive spatial pooling layers to extract multi-scale image features for better performance. In the experimental results, we show our CNN-based approach robustly and accurately estimates the slanted angle of an image regardless of the image content, even if the image contains no lines or planes at all.