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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of Broadcast Engineering
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The Korean Institute of Broadcast and Media Engineers
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Volume & Issues
Volume 21, Issue 4 - Jul 2016
Volume 21, Issue 3 - May 2016
Volume 21, Issue 2 - Mar 2016
Volume 21, Issue 1 - Jan 2016
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Fast Intra Prediction in HEVC using Transform Coefficients and Coded Block Flag
Kim, Nam-Uk ; Lee, Yung-Lyul ;
Journal of Broadcast Engineering, volume 21, issue 2, 2016, Pages 140~148
DOI : 10.5909/JBE.2016.21.2.140
HEVC(High Efficient Video Coding) has twice times better compression ratio than H.264/AVC, but since the computational complexity has significantly increased in the encoder side, it may cause difficulty in real-time SW implementation in the encoder side. This paper proposes two methods about fast intra prediction. First, fast mode and prediction unit decision method using transform coefficients of the original block is proposed. and second, fast prediction unit decision method using coded block flag(cbf) is proposed. The proposed method achieves 42% encoder speed up with 0.8% bitrate increase compared with HM16.0.
A Blind Watermarking Scheme Using Singular Vector Based On DWT/RDWT/SVD
Luong, Ngoc Thuy Dung ; Sohn, Won ;
Journal of Broadcast Engineering, volume 21, issue 2, 2016, Pages 149~156
DOI : 10.5909/JBE.2016.21.2.149
We proposed a blind watermarking scheme using singular vectors based on Discrete Wavelet Transform (DWT) and Redundant Discrete Wavelet Transform (RDWT) combined with Singular Value Decomposition (SVD) for copyright protection application. We replaced the 1st left and right singular vectors decomposed from cover image with the corresponding ones from watermark image to overcome the false-positive problem in current watermark systems using SVD. The proposed scheme realized the watermarking system without a false positive problem, and shows high fidelity and robustness.
A Novel Fast and High-Performance Image Quality Assessment Metric using a Simple Laplace Operator
Bae, Sung-Ho ; Kim, Munchurl ;
Journal of Broadcast Engineering, volume 21, issue 2, 2016, Pages 157~168
DOI : 10.5909/JBE.2016.21.2.157
In image processing and computer vision fields, mean squared error (MSE) has popularly been used as an objective metric in image quality optimization problems due to its desirable mathematical properties such as metricability, differentiability and convexity. However, as known that MSE is not highly correlated with perceived visual quality, much effort has been made to develop new image quality assessment (IQA) metrics having both the desirable mathematical properties aforementioned and high prediction performances for subjective visual quality scores. Although recent IQA metrics having the desirable mathematical properties have shown to give some promising results in prediction performance for visual quality scores, they also have high computation complexities. In order to alleviate this problem, we propose a new fast IQA metric using a simple Laplace operator. Since the Laplace operator used in our IQA metric can not only effectively mimic operations of receptive fields in retina for luminance stimulus but also be simply computed, our IQA metric can yield both very fast processing speed and high prediction performance. In order to verify the effectiveness of the proposed IQA metric, our method is compared to some state-of-the-art IQA metrics. The experimental results showed that the proposed IQA metric has the fastest running speed compared the IQA methods except MSE under comparison. Moreover, our IQA metric achieves the best prediction performance for subjective image quality scores among the state-of-the-art IQA metrics under test.
Non-uniform Linear Microphone Array Based Source Separation for Conversion from Channel-based to Object-based Audio Content
Chun, Chan Jun ; Kim, Hong Kook ;
Journal of Broadcast Engineering, volume 21, issue 2, 2016, Pages 169~179
DOI : 10.5909/JBE.2016.21.2.169
Recently, MPEG-H has been standardizing for a multimedia coder in UHDTV (Ultra-High-Definition TV). Thus, the demand for not only channel-based audio contents but also object-based audio contents is more increasing, which results in developing a new technique of converting channel-based audio contents to object-based ones. In this paper, a non-uniform linear microphone array based source separation method is proposed for realizing such conversion. The proposed method first analyzes the arrival time differences of input audio sources to each of the microphones, and the spectral magnitudes of each sound source are estimated at the horizontal directions based on the analyzed time differences. In order to demonstrate the effectiveness of the proposed method, objective performance measures of the proposed method are compared with those of conventional methods such as an MVDR (Minimum Variance Distortionless Response) beamformer and an ICA (Independent Component Analysis) method. As a result, it is shown that the proposed separation method has better separation performance than the conventional separation methods.
Super-resolution Algorithm Using Adaptive Unsharp Masking for Infra-red Images
Kim, Yong-Jun ; Song, Byung Cheol ;
Journal of Broadcast Engineering, volume 21, issue 2, 2016, Pages 180~191
DOI : 10.5909/JBE.2016.21.2.180
When up-scaling algorithms for visible light images are applied to infrared (IR) images, they rarely work because IR images are usually blurred. In order to solve such a problem, this paper proposes an up-scaling algorithm for IR images. We employ adaptive dynamic range encoding (ADRC) as a simple classifier based on the observation that IR images have weak details. Also, since human visual systems are more sensitive to edges, our algorithm focuses on edges. Then, we add pre-processing in learning phase. As a result, we can improve visibility of IR images without increasing computational cost. Comparing with Anchored neighborhood regression (A+), the proposed algorithm provides better results. In terms of just noticeable blur, the proposed algorithm shows higher values by 0.0201 than the A+, respectively.
Standard Model for Live Actor and Entity Representation in Mixed and Augmented Reality
Yooa, Kwan-Hee ;
Journal of Broadcast Engineering, volume 21, issue 2, 2016, Pages 192~199
DOI : 10.5909/JBE.2016.21.2.192
Mixed and augmented reality technique deals with mixing content between real world and virtual world containing augmented reality and augmented virtuality excluding of pure real and pure virtual world. In mixed and augmented reality, if a live actor and entity moving in real world can be embedded more naturally in 3D virtual world, various advanced applications such 3D tele-presence, 3D virtual experience education and etc can be serviced. Therefore, in this paper, we propose a standard model which is supporting to embed the live actor and entity into 3D virtual space, and to interact with each other. And also the natural embedding and interaction of live actor and entity can be performed based on the proposed model.
Non-uniform Deblur Algorithm using Gyro Sensor and Different Exposure Image Pair
Ryu, Ho-hyeong ; Song, Byung Cheol ;
Journal of Broadcast Engineering, volume 21, issue 2, 2016, Pages 200~209
DOI : 10.5909/JBE.2016.21.2.200
This paper proposes a non-uniform de-blur algorithm using IMU sensor and a long/short exposure-time image pair to efficiently remove the blur phenomenon. Conventional blur kernel estimation algorithms using sensor information do not provide acceptable performance due to limitation of sensor performance. In order to overcome such a limitation, we present a kernel refinement step based on images having different exposure times which improves accuracy of the estimated kernel. Also, in order to figure out the phenomenon that conventional non-uniform de-blur algorithms suffer from severe degradation of visual quality in case of large blur kernels, this paper a homography-based residual de-convolution which can minimize quality degradation such as ringing artifacts during de-convolution. Experimental results show that the proposed algorithm is superior to the state-of-the-art methods in terms of subjective as well as objective visual quality.
A Study on Impact of Media Use Characteristics/Evaluation for Guide Channel on Intention to use VOD provided by Multichannel Service Provider
Joh, Seong Je ; Lee, Yeong Ju ;
Journal of Broadcast Engineering, volume 21, issue 2, 2016, Pages 210~218
DOI : 10.5909/JBE.2016.21.2.210
In this study VOD usage patterns(VOD use and paid amount) of IPTV users were investigated reflecting the level of media use characteristics such as TV viewing time, star preference, and genre preference. Also the impact of media using characteristics and the evaluation of guide channel on the intention to use VOD was analyzed. The web survey was conducted against the respondents who have used VOD and guide channel. The results are as follows. Among the media usage characteristics, star preference has the impact on the VOD use, while genre preference has relation to the willingness to pay for VOD. Secondly, the intention to view the guide channel, entertainment of the channel, and the users` genre preference have significant impacts on the intention to use VOD. Therefore, it is necessary to raise the viewing rate of guide channel by providing the customized promotion strategy and diverse events based on the analysis of VOD usage.
Design and Analysis of 3D Scalable Video Codec
Lee, Jae-Yung ; Kim, Jae-Gon ; Han, Jong-Ki ;
Journal of Broadcast Engineering, volume 21, issue 2, 2016, Pages 219~236
DOI : 10.5909/JBE.2016.21.2.219
In this paper, we design and implement a 3D scalable video codec by combining the Scalable HEVC (SHVC) and the 3D-HEVC which are the extended standards of High Efficiency Video Coding (HEVC). The proposed 3D scalable video codec supports the view and spatial scalabilities which are the properties of 3D-HEVC and SHVC, respectively. In the proposed 3D scalable codec, the high-level syntaxes are designed to support the multiple scalabilities. In the computer simulation section, we confirmed the conformance of the proposed codec and analyzed the performance of the proposed codec.
Coding Technique using Depth Map in 3D Scalable Video Codec
Lee, Jae-Yung ; Lee, Min-Ho ; Chae, Jin-Kee ; Kim, Jae-Gon ; Han, Jong-Ki ;
Journal of Broadcast Engineering, volume 21, issue 2, 2016, Pages 237~251
DOI : 10.5909/JBE.2016.21.2.237
The conventional 3D-HEVC uses the depth data of the other view instead of that of the current view because the texture data has to be encoded before the corresponding depth data of the current view has been encoded, where the depth data of the other view is used as the predicted depth for the current view. Whereas the conventional 3D-HEVC has no other candidate for the predicted depth information except for that of the other view, the scalable 3D-HEVC utilizes the depth data of the lower spatial layer whose view ID is equal to that of the current picture. The depth data of the lower spatial layer is up-scaled to the resolution of the current picture, and then the enlarged depth data is used as the predicted depth information. Because the quality of the enlarged depth is much higher than that of the depth of the other view, the proposed scheme increases the coding efficiency of the scalable 3D-HEVC codec. Computer simulation results show that the scalable 3D-HEVC is useful and the proposed scheme to use the enlarged depth data for the current picture provides the significant coding gain.
Estimating Human Size in 2D Image for Improvement of Detection Speed in Indoor Environments
Gil, Jong In ; Kim, Manbae ;
Journal of Broadcast Engineering, volume 21, issue 2, 2016, Pages 252~260
DOI : 10.5909/JBE.2016.21.2.252
The performance of human detection system is affected by camera location and view angle. In 2D image acquired from such camera settings, humans are displayed in different sizes. Detecting all the humans with diverse sizes poses a difficulty in realizing a real-time system. However, if the size of a human in an image can be predicted, the processing time of human detection would be greatly reduced. In this paper, we propose a method that estimates human size by constructing an indoor scene in 3D space. Since the human has constant size everywhere in 3D space, it is possible to estimate accurate human size in 2D image by projecting 3D human into the image space. Experimental results validate that a human size can be predicted from the proposed method and that machine-learning based detection methods can yield the reduction of the processing time.
An Interference Canceller-based Digital On-Channel Repeater to Improve Feedback Channel Estimation and RFP Performance
Choi, Soocheol ; Cho, Kiryang ;
Journal of Broadcast Engineering, volume 21, issue 2, 2016, Pages 261~267
DOI : 10.5909/JBE.2016.21.2.261
In this paper, Method for the phase distortion compensation timing offset and DC eliminator for the pilot component estimation and removal, transmitted and received signal correlation in the delay scheme DAB interference cancellation based on the same channel for using for estimating the feedback signal based on a between for removal for the timing offset compensation It proposes a repeater. This was applied to the ATSC system. The on-channel repeater of the proposed interference cancellation based on the interference removing capability is improved in interference signal is 20dB greater than the primary transmission signal environment via the return channel estimation and improve performance RFP. Accordingly, it was confirmed by simulation that good signal is sent out with the improvement of the ability of the repeater.
Detecting Foreground Objects Under Sudden Illumination Change Using Double Background Models
Saeed, Mahmoudpour ; Kim, Manbae ;
Journal of Broadcast Engineering, volume 21, issue 2, 2016, Pages 268~271
DOI : 10.5909/JBE.2016.21.2.268
In video sequences, foreground object detection being composed of a background model and a background subtraction is an important part of diverse computer vision applications. However, object detection might fail in sudden illumination changes. In this letter, an illumination-robust background detection is proposed to address this problem. The method can provide quick adaption to current illumination condition using two background models with different adaption rates. Since the proposed method is a non-parametric approach, experimental results show that the proposed algorithm outperforms several state-of-art non-parametric approaches and provides low computational cost.
Image Matching Based on Robust Feature Extraction for Remote Sensing Haze Images
Kwon, Oh-Seol ;
Journal of Broadcast Engineering, volume 21, issue 2, 2016, Pages 272~275
DOI : 10.5909/JBE.2016.21.2.272
This paper presents a method of single image dehazing and surface-based feature detection for remote sensing images. In the conventional dark channel prior (DCP) algorithm, the resulting transmission map invariably includes some block artifacts because of patch-based processing. This also causes image blur. Therefore, a refined transmission map based on a hidden Markov random field and expectation-maximization algorithm can reduce the block artifacts and also increase the image clarity. Also, the proposed algorithm enhances the accuracy of image matching surface-based features in an remote sensing image. Experimental results confirm that the proposed algorithm is superior to conventional algorithms in image haze removal. Moreover, the proposed algorithm is suitable for the problem of image matching based on feature extraction.