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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 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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Blocking Artifacts Detection in Frequency Domain for Frame Rate Up-conversion
Kim, Nam-Uk ; Jun, Dongsan ; Lee, Jinho ; Lee, Yung-Lyul ;
Journal of Broadcast Engineering, volume 21, issue 4, 2016, Pages 472~483
DOI : 10.5909/JBE.2016.21.4.472
This paper proposes a blocking artifacts detection algorithm in frequency domain for MC-FRUC (Motion Compensated Frame Rate Up-Conversion). Conventional MC-FRUC algorithms occur blocking artifacts near interpolated block boundaries since motion compensation is performed from block-based motion vector. For efficiently decreasing blocking artifacts, this paper analyses frequency characteristics of the interpolated frame and reduces blocking artifacts on block boundaries. In experimental results the proposed method shows better subjective quality than some conventional FRUC method and also increases the PSNR(Peak Signal to Noise Ratio) value on average 0.45 dB compared with BDMC(Bi-Directional Motion Compensation).
CU Depth Decision Based on FAST Corner Detection for HEVC Intra Prediction
Jeon, Seungsu ; kim, Namuk ; Jeon, Byeungwoo ;
Journal of Broadcast Engineering, volume 21, issue 4, 2016, Pages 484~492
DOI : 10.5909/JBE.2016.21.4.484
The High efficiency video coding (HEVC) is the newest video coding standard that achieves coding efficiency higher than previous video coding standards such as H.264/AVC. In intra prediction, the prediction units (PUs) are derived from a large coding unit (LCU) which is partitioned into smaller coding units (CUs) sizing from 8x8 to 64x64 in a quad-tree structure. As they are divided until having the minimum depth, Optimum CU splitting is selected in RDO (Rate Distortion Optimization) process. In this process, HEVC demands high computational complexity. In this paper, to reduce the complexity of HEVC, we propose a fast CU mode decision (FCDD) for intra prediction by using FAST (Features from Accelerated Segment Test) corner detection. The proposed method reduces computational complexity with 53.73% of the computational time for the intra prediction while coding performance degradation with 0.7% BDBR is small compared to conventional HEVC.
Pedestrian Counting System based on Average Filter Tracking for Measuring Advertisement Effectiveness of Digital Signage
Kim, Kiyong ; Yoon, Kyoungro ;
Journal of Broadcast Engineering, volume 21, issue 4, 2016, Pages 493~505
DOI : 10.5909/JBE.2016.21.4.493
Among modern computer vision and video surveillance systems, the pedestrian counting system is a one of important systems in terms of security, scheduling and advertising. In the field of, pedestrian counting remains a variety of challenges such as changes in illumination, partial occlusion, overlap and people detection. During pedestrian counting process, the biggest problem is occlusion effect in crowded environment. Occlusion and overlap must be resolved for accurate people counting. In this paper, we propose a novel pedestrian counting system which improves existing pedestrian tracking method. Unlike existing pedestrian tracking method, proposed method shows that average filter tracking method can improve tracking performance. Also proposed method improves tracking performance through frame compensation and outlier removal. At the same time, we keep various information of tracking objects. The proposed method improves counting accuracy and reduces error rate about S6 dataset and S7 dataset. Also our system provides real time detection at the rate of 80 fps.
Laboratory Measurement to Provide Threshold of Visibility for Terrestrial 4K-UHDTV Broadcasting based on HEVC over DVB-T2
Jeon, Sungho ; Kim, Sanghoon ; Hahm, Sangjin ; Yim, Zungkon ; Suh, Young-Woo ;
Journal of Broadcast Engineering, volume 21, issue 4, 2016, Pages 506~514
DOI : 10.5909/JBE.2016.21.4.506
In this study, HEVC over DVB-T2 systems with a bandwidth of 6 MHz is considered, particularly for the terrestrial 4K-UHDTV broadcasting service in the Republic of Korea. The threshold of visibility carrier-to-noise power ratio (ToV C/N) and the receiver minimum required input level (sensitivity) for satisfying the subjective picture failure (SPF) condition are measured in the laboratory. It is observed, for transmitting 26.37 Mbps data stream correctly, that ToV C/N is 18.8 dB on average, and the receiver sensitivity is varied from minimum -84.2 dBm to maximum -80.0 dBm. Based on the results, the receiver noise floor is calculated by -100 dBm on average.
Image Fusion using RGB and Near Infrared Image
Kil, Taeho ; Cho, Nam Ik ;
Journal of Broadcast Engineering, volume 21, issue 4, 2016, Pages 515~524
DOI : 10.5909/JBE.2016.21.4.515
Infrared (IR) wavelength is out of visible range and thus usually cut by hot filters in general commercial cameras. However, some information from the near-IR (NIR) range is known to improve the overall visibility of scene in many cases. For example when there is fog or haze in the scene, NIR image has clearer visibility than visible image because of its stronger penetration property. In this paper, we propose an algorithm for fusing the RGB and NIR images to obtain the enhanced images of the outdoor scenes. First, we construct a weight map by comparing the contrast of the RGB and NIR images, and then fuse the two images based on the weight map. Experimental results show that the proposed method is effective in enhancing visible image and removing the haze.
Development of Online Video Mash-up System based on Automatic Scene Elements Composition using Storyboard
Park, Jongbin ; Kim, Kyung-Won ; Jung, Jong-Jin ; Lim, Tae-Beom ;
Journal of Broadcast Engineering, volume 21, issue 4, 2016, Pages 525~537
DOI : 10.5909/JBE.2016.21.4.525
In this paper, we develop an online video mash-up system which use automatic scene elements composition scheme using a storyboard. There are two conventional online video production schemes. Video collage method is simple and easy, but it was difficult to reflect narrative or story. Another way is a template based method which usually select a template and it replaces resources such as photos or videos in the template. However, if the related templates do not exist, there are limitations that cannot create the desired output. In addition, the quality and atmosphere of the output is too dependent on the template. To solve these problems, we propose a video mash-up scheme using storyboard and we also implement a classification and recommendation scheme based on topic modeling.
A Study on Color Reproduction and Flatness of the LED Light Source in Broadcasting Lighting
Kim, Young-Jin ; Park, Gooman ;
Journal of Broadcast Engineering, volume 21, issue 4, 2016, Pages 538~551
DOI : 10.5909/JBE.2016.21.4.538
At the on-site of broadcasting production, the light source of tungsten halogen has been used as a primary light source for representing video images. Although tungsten halogen light has drawn attention in terms of the color reproducibility which is more similar to the sun light than that of other light sources, meanwhile it had problems in energy efficiency. Recently, the LED light source with high efficiency and long lifetime of the energy source has started getting attention as a substitute light source at the broadcast field. Because of the unique light emission principles, compared with tungsten halogen, LED light source has different characteristics in the quality of the light projected from the light source and color reproduction of the video image through a camera. These characteristics cause the delayed introduction of the LED as the broadcast light source. In this study we measured the quality characteristics of the flatness of the color reproduction and light of the LED light source and will present the experimental data whether it is suitable as the broadcasting light source compared to a reference light source of tungsten halogen. In addition, we suggested the future challenges and standards which are needed to expand usage of LED as a broadcast light source.
A Channel Estimation Scheme for OFDM receiver in a Fast Mobile SFN Channel
Gu, Young Mo ;
Journal of Broadcast Engineering, volume 21, issue 4, 2016, Pages 552~561
DOI : 10.5909/JBE.2016.21.4.552
In OFDM system, frequency-domain sub-carriers of a symbol generally consist of data sub-carriers and scattered pilot sub-carriers and in the receiver, channel is estimated through time-axis interpolating pilot sub-carriers of several OFDM symbols. However, time-axis interpolation fails to keep track of rapid channel variation caused by fast moving receiver. Although symbol by symbol channel estimation without time-axis interpolation enables fast estimation, the performance is severely degraded for a long delay spread channel in a single frequency networks (SFNs) because of insufficient pilot sub-carriers. In this paper, a channel estimation scheme for OFDM receiver in a fast mobile SFN channel is proposed. The proposed scheme is applied to DVB-T receiver to improve the Doppler mobile performance in SFN channel.
Real-time Traffic Sign Recognition using Rotation-invariant Fast Binary Patterns
Hwang, Min-Chul ; Ko, Byoung Chul ; Nam, Jae-Yeal ;
Journal of Broadcast Engineering, volume 21, issue 4, 2016, Pages 562~568
DOI : 10.5909/JBE.2016.21.4.562
In this paper, we focus on recognition of speed-limit signs among a few types of traffic signs because speed-limit sign is closely related to safe driving of drivers. Although histogram of oriented gradient (HOG) and local binary patterns (LBP) are representative features for object recognition, these features have a weakness with respect to rotation, in that it does not consider the rotation of the target object when generating patterns. Therefore, this paper propose the fast rotation-invariant binary patterns (FRIBP) algorithm to generate a binary pattern that is robust against rotation. The proposed FRIBP algorithm deletes an unused layer of the histogram, and eliminates the shift and comparison operations in order to quickly extract the desired feature. The proposed FRIBP algorithm is successfully applied to German Traffic Sign Recognition Benchmark (GTSRB) datasets, and the results show that the recognition capabilities of the proposed method are similar to those of other methods. Moreover, its recognition speed is considerably enhanced than related works as approximately 0.47second for 12,630 test data.
Place Recognition Method Using Quad Vocabulary Tree
Park, Seoyeong ; Hong, Hyunki ;
Journal of Broadcast Engineering, volume 21, issue 4, 2016, Pages 569~577
DOI : 10.5909/JBE.2016.21.4.569
Place recognition for LBS (Location Based Service) has been one of the important techniques for user-oriented service. FLANN (Fast Library for performing Approximate Nearest Neighbor) of place recognition with image features is fast, but it is affected much by environmental condition such as occlusions. This paper presents a place recognition method using quad vocabulary tree with SURF (Speeded Up Robust Features). In learning stage, an image is represented with spatial pyramid of three levels and vocabulary trees of their sub-regions are constructed. Query image is matched with the learned vocabulary trees in each level. The proposed method measures homography error of the matched features. By considering the number of inliers in sub-region, we can improve place recognition performance.
Study on Fast HEVC Encoding with Hierarchical Motion Vector Clustering
Lim, Jeongyun ; Ahn, Yong-Jo ; Sim, Donggyu ;
Journal of Broadcast Engineering, volume 21, issue 4, 2016, Pages 578~591
DOI : 10.5909/JBE.2016.21.4.578
In this paper, the fast encoding algorithm in High Efficiency Video Coding (HEVC) encoder was studied. For the encoding efficiency, the current HEVC reference software is divided the input image into Coding Tree Unit (CTU). then, it should be re-divided into CU up to maximum depth in form of quad-tree for RDO (Rate-Distortion Optimization) in encoding precess. But, it is one of the reason why complexity is high in the encoding precess. In this paper, to reduce the high complexity in the encoding process, it proposed the method by determining the maximum depth of the CU using a hierarchical clustering at the pre-processing. The hierarchical clustering results represented an average combination of motion vectors (MV) on neighboring blocks. Experimental results showed that the proposed method could achieve an average of 16% time saving with minimal BD-rate loss at 1080p video resolution. When combined the previous fast algorithm, the proposed method could achieve an average 45.13% time saving with 1.84% BD-rate loss.
A Study on the Compression Efficiency of a Digital Hologram Video using Domain Transforms and H.265/HEVC
Jang, Su-Jin ; Seo, Young-Ho ; Kim, Dong-Wook ;
Journal of Broadcast Engineering, volume 21, issue 4, 2016, Pages 592~608
DOI : 10.5909/JBE.2016.21.4.592
Recently, many researches on digital holograms, which retain almost perfect 3 dimensional image information, have been performed actively that it seems for them to be serviced soon. Accordingly, this paper proposes a data compression technique for a digital hologram video for this service. It uses H.265/HEVC, the most recent international 2 dimensional video compression standard, for which we consider various domain transform methods to increase the correlation among the pixels in a digital hologram. Also we consider the various parameters on H.265/HEVC. The purpose of this paper is to find empirically the optimal condition for the domain transform method, the size of transform unit, and the H.265/HEVC parameters. The proposed method satisfying the optimal parameter set found is compared to the existing methods to prove that ours shows better performance.
Lower Tail Light Learning-based Forward Vehicle Detection System Irrelevant to the Vehicle Types
Ki, Minsong ; Kwak, Sooyeong ; Byun, Hyeran ;
Journal of Broadcast Engineering, volume 21, issue 4, 2016, Pages 609~620
DOI : 10.5909/JBE.2016.21.4.609
Recently, there are active studies on a forward collision warning system to prevent the accidents and improve convenience of drivers. For collision evasion, the vehicle detection system is required. In general, existing learning-based vehicle detection methods use the entire appearance of the vehicles from rear-view images, so that each vehicle types should be learned separately since they have distinct rear-view appearance regarding the types. To overcome such shortcoming, we learn Haar-like features from the lower part of the vehicles which contain tail lights to detect vehicles leveraging the fact that the lower part is consistent regardless of vehicle types. As a verification procedure, we detect tail lights to distinguish actual vehicles and non-vehicles. If candidates are too small to detect the tail lights, we use HOG(Histogram Of Gradient) feature and SVM(Support Vector Machine) classifier to reduce false alarms. The proposed forward vehicle detection method shows accuracy of 95% even in the complicated images with many buildings by the road, regardless of vehicle types.
A New Structure of Hybrid DRC to Enhance the Sound Quality of a Digital Amplifier
Kim, Sung-Woo ; You, Hee-Hoon ; Choi, Seong Jhin ;
Journal of Broadcast Engineering, volume 21, issue 4, 2016, Pages 621~629
DOI : 10.5909/JBE.2016.21.4.621
This paper suggests a new structure of hybrid DRC to enhance the psychoacoustic sound quality of a conventional multiband DRC. The proposed hybrid DRC consists of two serially cascaded stages. The front stage DRC is multiband, and it compresses input based on RMS level detection, whereas, the back stage DRC is single band, and it regulates input according to peak level detection. The proposed hybrid DRC shows better loudness while suppressing distortion by clipping. The proposed algorithm was verified through MATLAB simulation, and it was implemented using an FPGA board for listening test. The test result showed that the proposed hybrid structure enhances overall psychoacoustic sound quality compared to conventional structures, which is based on only RMS or peak level detection.