• Journal of Broadcast Engineering
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• v.18 no.1
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• pp.115-121
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• 2013

Recently an extension to DMB AF (Digital Multimedia Broadcasting Application Format) standard has been proposed in such a way that the extended DMB AF can include stereoscopic video and stereoscopic images for interactive service data, i.e., MPEG-4 BIFS (Binary Format for Scene) data, in addition to the existing 2D video and 2D images for BIFS services. In this paper we developed a service that provides the streaming of 3D contents in DMB AF by using MPEG-DASH (Dynamic Adaptive Streaming over HTTP) standard and validated it by implementing the client software.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1998.06b
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• pp.147-153
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• 1998

This paper provides a method for video augmentation using image interpolation. In computer graphics or augmented reality, 3D information of a model object is necessary to generate 2D views of the model, which are then inserted into or overlayed on environmental views or real video frames. However, we do not require any three dimensional model but images of the model object at some locations to render views according to the motion of video camera which is calculated by an SFM algorithm using point matches under weak-perspective (scaled-orthographic) projection model. Thus, a linear view interpolation algorithm is applied rather than a 3D ray-tracing method to get a view of the model at different viewpoints from model views. In order to get novel views in a way that agrees with the camera motion the camera coordinate system is embedded into model coordinate system at initialization time on the basis of 3D information recovered from video images and model views, respectively. During the sequence, motion parameters from video frames are used to compute interpolation parameters, and rendered model views are overlayed on corresponding video frames. Experimental results for real video frames and model views are given. Finally, discussion on the limitations of the method and subjects for future research are provided.

• Journal of Broadcast Engineering
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• v.15 no.4
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• pp.540-546
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• 2010

Since the stereoscopic 3-dimensional (3D) video that provides users with a realistic multimedia service requires twice as much data as 2-dimensional (2D) video, it is difficult to construct the fast system. In this paper, we propose a fast stereoscopic 3D broadcasting system based on the depth information. Before the transmission, we encode the input 2D+depth video using x264, an open source H.264/AVC fast encoder to reduce the size of the data. At the receiver, we decode the transmitted bitstream in real time using a compute unified device architecture (CUDA) video decoder API on NVIDIA graphics processing unit (GPU). Then, we apply a fast view synthesis method that generates the virtual view using GPU. The proposed system can display the output video in both 2DTV and 3DTV. From the experiment, we verified that the proposed system can service the stereoscopic 3D contents in 24 frames per second at most.

• Journal of Broadcast Engineering
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• v.24 no.1
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• pp.25-31
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• 2019

360 video is attracting attention as immersive media, and is also considered in VVC (Versatile Video Coding), which is being developed in JVET (Joint Video Expert Team) as a new video coding standard of post-HEVC. A 2D image projected from 360 video for its compression may has discontinuities between the projected faces and inactive regions, and they may cause the visual artifacts in the reconstructed video as well as decrease of coding efficiency. In this paper, we propose a method of efficient geometric padding to reduce these discontinuities and inactive regions in the projection format of SSP (Segmented Sphere Projection). Experimental results show that the proposed method improves subjective quality compared to the existing padding of SSP that uses copy padding with minor loss of coding gain.

• Journal of Broadcast Engineering
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• v.22 no.3
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• pp.366-374
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• 2017

Since a display device such as TV or digital signage is getting larger, the types of media is getting changed into wider view one such as UHD, panoramic and jigsaw-like media. Especially, panoramic and jigsaw-like media is realized by stitching video clips, which are captured by different camera or devices. However, a stitching process takes long time, and has difficulties in applying for a real-time process. Thus, this paper suggests to find out 2D Adjacency Matrix, which tells spatial relationships among those video clips in order to decrease a stitching processing time. Using the Discrete Cosine Transform (DCT), we convert the each frame of video source from the spatial domain (2D) into frequency domain. Based on the aforementioned features, 2D Adjacency Matrix of images could be found that we can efficiently make the spatial map of the images by using DCT. This paper proposes a new method of generating 2D adjacency matrix by using DCT for producing a panoramic and jigsaw-like media through various individual video clips.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.12C
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• pp.1208-1215
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• 2006

In this paper, we propose an algorithm that creates three-dimensional (3D) stereoscopic video from two-dimensional (2D) video encoded by H.264 instead of using the conventional stereo-camera process. Motion information of each frame can be obtained by the given motion vectors in most of videos encoded by MPEG standards. Especially, we have accurate motion vectors for H.264 streams because of the availability of a variety of block sizes. 2D/3D video conversion algorithm proposed in this paper can create the left and right images that correspond to the original image by using cut detection method, delay factors, motion types, and image types. We usually have consistent motion type na direction in a given cut because each frame in the same cut has high correlation. We show the improved performance of the proposed algorithm through experimental results.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.22 no.6
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• pp.641-647
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• 2011

This paper describes a design and fabrication of SDLVA. The SDLVA operates 0.5~2.0 GHz with -70~0 dBm dynamic range. The SDLVA is consisted of 5-stage RF block, 2-stage detector block and summation circuit using clamping op-amp to improve video linearity. The result of measure, SDLVA of RF path has over 73 dB small-signal gain and 10.1~12.2 dBm saturation power. The video path has 25 mV/ dB${\pm}$1.0 mV and under ${\pm}$1.5 dB video linearity.

• The Transactions of the Korea Information Processing Society
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• v.13 no.10
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• pp.568-573
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• 2024

Accurate placement of prosthetics represents a critical aspect of dental implant surgery. however, it heavily depends on the dentist's decision and visual obstructions caused by various factors can lead to errors during the procedure. This paper proposes a 2D image-based real-time implant placement guiding system that predicts the implant position using 2D surgical video without the need for preoperative oral scans or 3D model generation. In the initial phase of the surgical video, two segmentation models are employed to measure prior statistics of the occlusal and incisal surfaces for each tooth. Subsequently, a single segmentation model is used to separate the occlusal and incisal surfaces, and the implant placement is predicted and guided based on the axis and length of adjacent teeth as well as the center of the prosthesis to be implanted. The system was designed and implemented using a dental phantom model, which replicates the oral structure of an actual human. The algorithm's average execution time for guiding implant placement on 10 images was measured to be 12.14 ms, demonstrating its feasibility for real-time application in surgical video.

• Proceedings of the KOSOMBE Conference
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• v.1997 no.11
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• pp.137-141
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• 1997

In this study, in order to improve visualization and enhance the ability of the surgeon to perform delicate endoscopic surgery, three dimensional endoscopic system is designed. These 3D systems have our features of stereoendoscopic image processing: real time image capture and retrieve; presentation of left and right image on a single monitor; separable processing of the left and right eye images; coding of the 3D endoscopic video. For 3D endoscopic video coding, three approaches are presented based on interlaced picture structure, side-field format structure, and simulcast technique. Experimental results and performances comparisons are presented and analyzed or these approaches. Digital video coding techniques are presented or 3D endoscopic video sequences by means of an MPEG-2 video coding.

• Journal of Broadcast Engineering
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• v.19 no.5
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• pp.640-655
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• 2014

Many of today's video systems have additional depth camera to provide extra features such as 3D support. Thanks to these changes made in multimedia system, it is now much easier to obtain depth information of the video. Depth information can be used in various areas such as object classification, background area recognition, and so on. With depth information, we can achieve even higher coding efficiency compared to only using conventional method. Thus, in this paper, we propose the 2D video coding algorithm which uses depth information on top of the next generation 2D video codec HEVC. Background area can be recognized with depth information and by performing HEVC with it, coding complexity can be reduced. If current CU is background area, we propose the following three methods, 1) Earlier stop split structure of CU with PU SKIP mode, 2) Limiting split structure of CU with CU information in temporal position, 3) Limiting the range of motion searching. We implement our proposal using HEVC HM 12.0 reference software. With these methods results shows that encoding complexity is reduced more than 40% with only 0.5% BD-Bitrate loss. Especially, in case of video acquired through the Kinect developed by Microsoft Corp., encoding complexity is reduced by max 53% without a loss of quality. So, it is expected that these techniques can apply real-time online communication, mobile or handheld video service and so on.