• Journal of Broadcast Engineering
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• v.17 no.1
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• pp.49-59
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• 2012

Although 3D stereoscopic movies had been paid attention to a few times since the 1900's, the interest had not been last. Most researchers pointed out the reason came from human factors because the early in the 3D technology growth had to develop technological possibility to realize 3D videos and ignore the importance viewers' perspective. In the 2D video research, many studies have explored the factors which make people got immersed or involved and felt visual fatigue, but they have not been the main issues in the 3D research until now. The present research believes human factor issue is one of the most important parts to accelerate 3D industry and thus, we try to make reliable and valid assessments to evaluate 3D video which are perceived characteristics, impression, and presence.

• Annual Conference of KIPS
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• 2009.11a
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• pp.207-208
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• 2009

Peer-to-Peer (P2P) network has great potential on utilizing the network while reducing the server loads. Video on Demand (VoD) has become widely used since we can watch contents we like without having to download the overall file first. The mobile users may not need high quality of video; they only need good enough quality that can be played in the limited resource of physical device and network. So does with the devices with very limited network bandwidth. These issues emerge an idea of allowing Free-Rider in the P2P VoD system, where those low performance devices will only optimize the network utilization, affecting none to the performance of main system.

• Proceedings of the KIEE Conference
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• 2003.11b
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• pp.339-342
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• 2003

This paper describes an RF/IF module for 2.4GHz wireless video and audio receivers The designed circuits are implemented using a Teflon board of which the size is $53mm\times42mm$. The measured LNA gain is 15dB, and the VCO output levels are around 2dBm. The sensitivity of the receiver is about -80dBm. The manufactured module consumes 140nA from a 8V supply.

• The KIPS Transactions:PartB
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• v.14B no.7
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• pp.473-480
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• 2007

Feature tracking in video frame sequences has suffered from the instability and the frequent failure of feature matching between two successive frames. In this paper, we propose a robust 2D feature tracking method that is stable to long video sequences. To improve the stability of feature tracking, we predict the spatial movement in the current image frame using the state variables. The predicted current movement is used for the initialization of the search window. By computing the feature similarities in the search window, we refine the current feature positions. Then, the current feature states are updated. This tracking process is repeated for each input frame. To reduce false matches, the outlier rejection stage is also introduced. Experimental results from real video sequences showed that the proposed method performs stable feature tracking for long frame sequences.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.7A
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• pp.711-723
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• 2002

A finer granular scalable (FGS) version of ISO/IEC MPEG-4 video streaming is investigated in this work with the prioritized stream delivery over loss-rate differentiated networks. Our proposed system is focused on the seamless integration of rate adaptation, prioritized packetization, and simplified differentiation for the MPEG-4 FGS video streaming. The proposed system consists of three key components: 1) rate adaptation with scalable source encoding, 2) content-aware prioritized packetization, and 3) loss-based differential forwarding. More specifically, a constant-quality rate adaptation is first achieved by optimally truncating the over-coded FGS stream based on the embedding rate-distortion (R-D) information (obtained from a piecewise linear R-D model). The rate-controlled video stream is then packetized and prioritized according to the loss impact of each packet. Prioritized packets are transmitted over the underlying network, where packets are subject to differentiated dropping and forwarding. By focusing on the end-to-end quality, we establish an effective working conditions for the proposed video streaming and the superior performance is verified by simulated MPEG-4 FGS video streaming.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.22 no.7
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• pp.37-42
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• 2008

In this paper, a real-time multiview video coding system using fast disparity estimation is proposed. In the multiview encoder, adaptive disparity-motion estimation (DME) for an effective 3-dimensional (3D) processing are proposed. That is, by adaptively predicting the mutual correlation between stereo images in the key-frame using the proposed algorithm, the bandwidth of stereo input images can be compressed to the level of a conventional 2D image and a predicted image also can be effectively reconstructed using a reference image and adaptive disparity vectors. Also, in multiview decoder, intermediate view reconstruction (IVR) using adaptive disparity search algorithm (DSA) for real-time multiview video processing is proposed. The proposed IVR can reduce a processing time of disparity estimation by selecting adaptively disparity search range. Accordingly, the proposed multiview video coding system is able to increase the efficiency of the coding rate and improve the resolution.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.2
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• pp.1118-1133
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• 2017

Computer vision-based human activity recognition (HAR) has become very famous these days due to its applications in various fields such as smart home healthcare for elderly people. A video-based activity recognition system basically has many goals such as to react based on people's behavior that allows the systems to proactively assist them with their tasks. A novel approach is proposed in this work for depth video based human activity recognition using joint-based motion features of depth body shapes and Deep Belief Network (DBN). From depth video, different body parts of human activities are segmented first by means of a trained random forest. The motion features representing the magnitude and direction of each joint in next frame are extracted. Finally, the features are applied for training a DBN to be used for recognition later. The proposed HAR approach showed superior performance over conventional approaches on private and public datasets, indicating a prominent approach for practical applications in smartly controlled environments.

• Proceedings of the IEEK Conference
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• 2007.07a
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• pp.331-332
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• 2007

This Paper deals with the high sensitive camera circuit design, which is more sensitive than those on the market now in a way that it got rid of chronic smearing problem in CCD sensor and other kinds of noises in video signal effectively. This paper focused on the principle of CCD and video signal process and analyzed the specialized technique of industry and fundamental high sensitivity of CCTV camera. 1 also looked into the SONY super-HAD CCD camera which is very popular in the field now and compared this with the SONY EXview CCD camera to analyze the picture improvement using video test equipment. For the result, it had 190mv on camera sensitivity, 14dB on smearing, and 2dB on signal to noise ratio.

• Journal of the Korea Computer Graphics Society
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• v.9 no.3
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• pp.15-21
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• 2003

An algorithm is developed for augmenting a real video with virtual graphics objects without computing Euclidean information. Real motion of the camera is obtained in affine space by a direct linear method using image matches. Then, virtual camera is provided by determining the locations of four basis points in two input images as initialization process. The four pairs of 2D location and its 3D affine coordinates provide Euclidean orthographic projection camera through the whole video sequence. Our method has the capability of generating views of objects shaded by virtual light sources, because we can make use of all the functions of the graphics library written on the basis of Euclidean geometry. Our novel formulation and experimental results with real video sequences are presented.

• Proceedings of the IEEK Conference
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• 2002.07a
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• pp.289-292
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• 2002

This paper provides a frame-layer method for controlling bit rate of compressed video data in real time. Our approach is easy to operate and can store encoded video data in real time without deteriorating the quality of an image. To provide ameliorated and consistent visual quality, a new concept named SOP (Set Of Pictures) and a new quantization parameter variation control algorithm based on a second-order rate-distortion model 〔2〕 are introduced. The total bit-budget is allocated efficiently to cope with unpredictable recording time by using the proposed algorithm and it is distributed to each frame. In the end, we show improved and consistent video quality with experimental results obtained from C-model of a MPEG-4 (simple-profile) encoder.