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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of Broadcast Engineering
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Journal DOI :
The Korean Institute of Broadcast and Media Engineers
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Volume & Issues
Volume 19, Issue 6 - Nov 2014
Volume 19, Issue 5 - Sep 2014
Volume 19, Issue 4 - Jul 2014
Volume 19, Issue 3 - May 2014
Volume 19, Issue 2 - Mar 2014
Volume 19, Issue 1 - Jan 2014
Selecting the target year
Non-Dialog Section Detection for the Descriptive Video Service Contents Authoring
Jang, Inseon ; Ahn, ChungHyun ; Jang, Younseon ;
Journal of Broadcast Engineering, volume 19, issue 3, 2014, Pages 296~306
DOI : 10.5909/JBE.2014.19.3.296
This paper addresses a problem of non-dialog section detection for the DVS authoring, the goal of which is to find meaningful section from the broadcasting audio, where audio description can be inserted. The broadcasting audio involves the presence of various sounds so that it first discriminates between speech and non-speech for each audio frame. Proposed method jointly exploits the inter-channels structure and speech source characteristics of the broadcasting audio whose number of channel is stereo. Also, rule based post-processing is finally applied to detect the non-dialog section whose length is appropriate for audio description. Proposed method provides more accurate detection compared to conventional method. Experimental results on real broadcasting contents show that qualitative superiority of the proposed method.
CR-DPCM for Lossless Intra Prediction Method in HEVC
Hong, Sung-Wook ; Lee, Yung-Lyul ;
Journal of Broadcast Engineering, volume 19, issue 3, 2014, Pages 307~315
DOI : 10.5909/JBE.2014.19.3.307
A new modified lossless intra-coding method based on a cross residual transform is applied to HEVC(High Efficiency Video Coding). The HEVC standard including a multi-directional spatial prediction method to reduce spatial redundancy encodes the pixels in a PU (Prediction Unit) by using neighboring pixels. In the new modified lossless intra-coding method, the spatial prediction is performed by pixel-based DPCM but is implemented by block-based manner by using cross residual transform on the HEVC standard. The experimental results show that the new lossless intra-coding method reduces the bit rate of approximately 8.4% in comparison with the lossless-intra coding method in the HEVC standard and the proposed method results in slightly better compression ratio than the JPEG2000 lossless coding.
Parallelization of Feature Detection and Panorama Image Generation using OpenCL and Embedded GPU
Kang, Seung Heon ; Lee, Seung-Jae ; Lee, Man Hee ; Park, In Kyu ;
Journal of Broadcast Engineering, volume 19, issue 3, 2014, Pages 316~328
DOI : 10.5909/JBE.2014.19.3.316
In this paper, we parallelize the popular feature detection algorithms, i.e. SIFT and SURF, and its application to fast panoramic image generation on the latest embedded GPU. Parallelized algorithms are implemented using recently developed OpenCL as the embedded GPGPU software platform. We compare the implementation efficiency and speed performance of conventional OpenGL Shading Language and OpenCL. Experimental result shows that implementation on OpenCL has comparable performance with GLSL. Compared with the performance on the embedded CPU in the same application processor, the embedded GPU runs 3~4 times faster. As an example of using feature extraction, panorama image synthesis is performed on embedded GPU by applying image matching using detected features.
Histogram Equalization Based Color Space Quantization for the Enhancement of Mean-Shift Tracking Algorithm
Choi, Jangwon ; Choe, Yoonsik ; Kim, Yong-Goo ;
Journal of Broadcast Engineering, volume 19, issue 3, 2014, Pages 329~341
DOI : 10.5909/JBE.2014.19.3.329
Kernel-based mean-shift object tracking has gained more interests nowadays, with the aid of its feasibility of reliable real-time implementation of object tracking. This algorithm calculates the best mean-shift vector based on the color histogram similarity between target model and target candidate models, where the color histograms are usually produced after uniform color-space quantization for the implementation of real-time tracker. However, when the image of target model has a reduced contrast, such uniform quantization produces the histogram model having large values only for a few histogram bins, resulting in a reduced accuracy of similarity comparison. To solve this problem, a non-uniform quantization algorithm has been proposed, but it is hard to apply to real-time tracking applications due to its high complexity. Therefore, this paper proposes a fast non-uniform color-space quantization method using the histogram equalization, providing an adjusted histogram distribution such that the bins of target model histogram have as many meaningful values as possible. Using the proposed method, the number of bins involved in similarity comparison has been increased, resulting in an enhanced accuracy of the proposed mean-shift tracker. Simulations with various test videos demonstrate the proposed algorithm provides similar or better tracking results to the previous non-uniform quantization scheme with significantly reduced computation complexity.
Digital Watermarking on Image for View-point Change and Malicious Attacks
Kim, Bo-Ra ; Seo, Young-Ho ; Kim, Dong-Wook ;
Journal of Broadcast Engineering, volume 19, issue 3, 2014, Pages 342~354
DOI : 10.5909/JBE.2014.19.3.342
This paper deals with digital watermarking methods to protect ownership of image with targeting the ultra-high multi-view or free-view image service in which an arbitrary viewpoint image should be rendered at the user side. The main purpose of it is not to propose a superior method to the previous methods but to show how difficult to construct a watermarking scheme to overcome the viewpoint translation attack. Therefore we target the images with various attacks including viewpoint translation. This paper first shows how high the error rate of the extracted watermark data from viewpoint-translated image by basic schemes of the method using 2DDCT(2D discrete cosine transform) and the one using 2DDWT(2D discrete wavelet transform), which are for 2D image. Because the difficulty in watermarking for the viewpoint-translated image comes from the fact that we don`t know the translated viewpoint, we propose a scheme to find the translated viewpoint, which uses the image and the corresponding depth information at the original viewpoint. This method is used to construct the two non-blind watermarking methods to be proposed. They are used to show that recovery of the viewpoint affect a great deal of the error rate of the extracted watermark. Also by comparing the performances of the proposed methods and the previous ones, we show that the proposed ones are better in invisibility and robustness, even if they are non-blind.
Complexity Reduction of HEVC SAO Intra Modes By Adjustment of Offset Values
Mun, Ji-Hun ; Choi, Jung-Ah ; Ho, Yo-Sung ;
Journal of Broadcast Engineering, volume 19, issue 3, 2014, Pages 355~361
DOI : 10.5909/JBE.2014.19.3.355
In this paper, we propose a complexity reduction method of sample adaptive offset (SAO), which is an in-loop filter in high-efficiency video coding (HEVC). In the conventional SAO, an offset value is calculated for each coding tree block (CTB) to minimize the error between the original and reconstructed images. In order to determine the optimal offset value, all offset candidates are examined and the offset value that leads to the smallest rate-distortion cost is chosen. Thus, SAO occupies a significant amount of the computational complexity in the HEVC encoder. In the proposed method, we determine the least-used band (LUB) by considering the statistical characteristics of offset values and without processing the offset value included in the LUB. Also, in the offset value decision stage, we check only a certain number of candidates rather than all of them. Experimental results show that the proposed method reduces the encoding time by approximately 8.15% without yielding a significant loss in terms of coding efficiency.
Depth Map Generation Using Infocused and Defocused Images
Mahmoudpour, Saeed ; Kim, Manbae ;
Journal of Broadcast Engineering, volume 19, issue 3, 2014, Pages 362~371
DOI : 10.5909/JBE.2014.19.3.362
Blur variation caused by camera de-focusing provides a proper cue for depth estimation. Depth from Defocus (DFD) technique calculates the blur amount present in an image considering that blur amount is directly related to scene depth. Conventional DFD methods use two defocused images that might yield the low quality of an estimated depth map as well as a reconstructed infocused image. To solve this, a new DFD methodology based on infocused and defocused images is proposed in this paper. In the proposed method, the outcome of Subbaro`s DFD is combined with a novel edge blur estimation method so that improved blur estimation can be achieved. In addition, a saliency map mitigates the ill-posed problem of blur estimation in the region with low intensity variation. For validating the feasibility of the proposed method, twenty image sets of infocused and defocused images with 2K FHD resolution were acquired from a camera with a focus control in the experiments. 3D stereoscopic image generated by an estimated depth map and an input infocused image could deliver the satisfactory 3D perception in terms of spatial depth perception of scene objects.
Measurement of Vertical-Directional DTV Signal Level Using a Multi-Copter
Park, Hyung-Do ; Lim, Sol ; Kim, Dae Jin ;
Journal of Broadcast Engineering, volume 19, issue 3, 2014, Pages 372~384
DOI : 10.5909/JBE.2014.19.3.372
DTV field tests have been performed to measure field strength and to check reception ratio on indoor and outdoor sites. They use an antenna of 9m to measure DTV signal in case of outdoor measurement on the road. Modern skyscrapers require the analysis of vertical-directional wave propagation by measuring vertical-directional DTV signal. Even if the field strength is above the reception threshold of
, the reception is impossible in case of strong multi-path or high impulse noise. So, vertical-directional field measurement is essential in environment of tall buildings. In this paper, we developed an octo type multi-copter to measure vertical-directional DTV signal level. A compact and portable DTV signal level meter, an antenna, a microwave transmitter for data transmission, and a recording equipment are equipped in the multi-copter. Three different sites are selected to test the measurement system. Developed measurement system using the multi-copter is very useful in measuring vertical-directional DTV signal, especially in apartments, non-accessible area by vehicles, and forbidden areas.
A Study on the Willingness to Pay of Decision Factor for Mobile IPTV
Kim, Dong-Woo ; Yoo, Jae-Young ; Joung, Won-Ko ;
Journal of Broadcast Engineering, volume 19, issue 3, 2014, Pages 385~395
DOI : 10.5909/JBE.2014.19.3.385
This study analyzes empirically main factors of willingness-to-pay for mobile IPTV emphasized as a key service in mobile environment. By structure equation analysis, the results shows that service diversity has influence on usefulness and service quality influences both usefulness and ease-to-use. Secondly, usability has positive impact on attitude and satisfaction. Thirdly, attitude and satisfaction influence willingness-to-pay. These result mean that quality assurance(ex, QoS) and improvement of usability are essential for revenue improvement revenue in mobile IPTV. And also this study can give empirical implications for service portfolio, pricing and bundling strategy as a leading study for mobile IPTV.
Invariant Classification and Detection for Cloth Searching
Hwang, Inseong ; Cho, Beobkeun ; Jeon, Seungwoo ; Choe, Yunsik ;
Journal of Broadcast Engineering, volume 19, issue 3, 2014, Pages 396~404
DOI : 10.5909/JBE.2014.19.3.396
The field of searching clothing, which is very difficult due to the nature of the informal sector, has been in an effort to reduce the recognition error and computational complexity. However, there is no concrete examples of the whole progress of learning and recognizing for cloth, and the related technologies are still showing many limitations. In this paper, the whole process including identifying both the person and cloth in an image and analyzing both its color and texture pattern is specifically shown for classification. Especially, deformable search descriptor, LBPROT_35 is proposed for identifying the pattern of clothing. The proposed method is scale and rotation invariant, so we can obtain even higher detection rate even though the scale and angle of the image changes. In addition, the color classifier with the color space quantization is proposed not to loose color similarity. In simulation, we build database by training a total of 810 images from the clothing images on the internet, and test some of them. As a result, the proposed method shows a good performance as it has 94.4% matching rate while the former Dense-SIFT method has 63.9%.
Fast CU Decision Algorithm using the Initial CU Size Estimation and PU modes` RD Cost
Yoo, Hyang-Mi ; Shin, Soo-Yeon ; Suh, Jae-Won ;
Journal of Broadcast Engineering, volume 19, issue 3, 2014, Pages 405~414
DOI : 10.5909/JBE.2014.19.3.405
High Efficiency Video Coding(HEVC) obtains high compression ratio by applying recursive quad-tree structured coding unit(CU). However, this recursive quad-tree structure brings very high computational complexity to HEVC encoder. In this paper, we present fast CU decision algorithm in recursive quad-tree structure. The proposed algorithm estimates initial CU size before CTU encoding and checks the proposed condition using Coded Block Flag(CBF) and Rate-distortion cost to achieve the fast encoding time saving. And, intra mode estimation is also possible to be skipped using the CBF values acquired during the inter PU mode estimations. Experiment results shows that the proposed algorithm saved about 49.91% and 37.97% of encoding time according to the weighting condition.
A Cognitive Radio Technology for Retransmission in Cellular-Based Emergency Alert Broadcast Systems
Song, Mihwa ; Chang, Sekchin ;
Journal of Broadcast Engineering, volume 19, issue 3, 2014, Pages 415~418
DOI : 10.5909/JBE.2014.19.3.415
The CBS methodology has been standardized in order to make a rapid broadcast of emergency alert message for cellular users. However, the standard does not specify a retransmission request mechanism in the case that the users fail in receiving the alert message. Therefore, we propose a retransmission request scheme based on cognitive radio for the CBS technology in this letter. The simulation results confirm that our proposed scheme is very suitable for the retransmission method in CBS-based emergency alert broadcast systems.