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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 17, Issue 6 - Nov 2012
Volume 17, Issue 5 - Sep 2012
Volume 17, Issue 4 - Jul 2012
Volume 17, Issue 3 - May 2012
Volume 17, Issue 2 - Mar 2012
Volume 17, Issue 1 - Jan 2012
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Face Detection Using Adaboost and Template Matching of Depth Map based Block Rank Patterns
Kim, Young-Gon ; Park, Rae-Hong ; Mun, Seong-Su ;
Journal of Broadcast Engineering, volume 17, issue 3, 2012, Pages 437~446
DOI : 10.5909/JBE.2012.17.3.437
A face detection algorithms using two-dimensional (2-D) intensity or color images have been studied for decades. Recently, with the development of low-cost range sensor, three-dimensional (3-D) information (i.e., depth image that represents the distance between a camera and objects) can be easily used to reliably extract facial features. Most people have a similar pattern of 3-D facial structure. This paper proposes a face detection method using intensity and depth images. At first, adaboost algorithm using intensity image classifies face and nonface candidate regions. Each candidate region is divided into
blocks and depth values are averaged in each block. Then,
block rank pattern is constructed by sorting block averages of depth values. Finally, candidate regions are classified as face and nonface regions by matching the constructed depth map based block rank patterns and a template pattern that is generated from training data set. For template matching, the
template block rank pattern is prior constructed by averaging block ranks using training data set. The proposed algorithm is tested on real images obtained by Kinect range sensor. Experimental results show that the proposed algorithm effectively eliminates most false positives with true positives well preserved.
Hand Gesture Recognition from Kinect Sensor Data
Cho, Sun-Young ; Byun, Hye-Ran ; Lee, Hee-Kyung ; Cha, Ji-Hun ;
Journal of Broadcast Engineering, volume 17, issue 3, 2012, Pages 447~458
DOI : 10.5909/JBE.2012.17.3.447
We present a method to recognize hand gestures using skeletal joint data obtained from Microsoft's Kinect sensor. We propose a combination feature of multi-angle histograms robust to orientation variations to represent the observation sequence of skeletons. The proposed feature efficiently represents the orientation variations of gestures that can be occurred according to person or environment by combining the multiple angle histograms with various angular-quantization levels. The gesture represented as combination of multi-angle histograms and random decision forest classifier improve the recognition performance. We conduct the experiments in hand gesture dataset obtained from a kinect sensor and show that our method outperforms the other methods by comparing the recognition performance.
Depth Map Interpolation Using High Frequency Components
Jang, Seung-Eun ; Kim, Sung-Yeol ; Kim, Man-Bae ;
Journal of Broadcast Engineering, volume 17, issue 3, 2012, Pages 459~470
DOI : 10.5909/JBE.2012.17.3.459
In this paper, we propose a method to upsample a low-resolution depth map to a high-resolution version. While conventional camera sensors produce high-resolution color images, the sizes of the depth maps of range/depth sensors are usually low. In this paper, we consider the utilization of high-frequency components to the conventional depth map interpolation methods such as bilinear, bicubic, and bilateral. The proposed method is composed of the three steps: high-frequency component extraction, high-frequency component application, and interpolation. Two objective evaluation measures such as sharpness degree and blur metric are used to examine the performance. Experimental results show that the proposed method significantly outperforms other conventional methods by a factor of 2 in terms of sharpness degree. As well, a blur metric is reduced by a factor of 14 %.
Sub-Sampled Pixels based Fast Mode Selection Algorithm for Intra Prediction in H.264/AVC
Kim, Young-Joon ; Kim, Won-Kyun ; Jung, Dong-Jin ; Jeong, Je-Chang ;
Journal of Broadcast Engineering, volume 17, issue 3, 2012, Pages 471~479
DOI : 10.5909/JBE.2012.17.3.471
Intra prediction is one of the significant techniques in H.264/AVC reference software; however, it has heavy computational complexity. In order to solve this problem, many fast algorithms have been proposed. In this paper, we propose a fast intra mode decision algorithm which predicts the edge direction of the current block using sub-sampled pixels to reduce high computational complexity of the H.264/AVC encoder. The proposed algorithm shows that it not only improves the coding performance but also reduces the computational complexity of the H.264/AVC encoder compared to previous algorithms. The experimental results show that the proposed algorithm achieves the encoding time reduction of 75.93% on an average with slight peak signal-to-noise ratio (PSNR) drop and bit-rate increment.
Chroma Interpolation using High Precision Filter, FIR Filter, Linear Filter
Moon, Kyung-Soo ; Kim, Jeong-Pil ; Lee, Yung-Lyul ;
Journal of Broadcast Engineering, volume 17, issue 3, 2012, Pages 480~490
DOI : 10.5909/JBE.2012.17.3.480
When interpolating chrominance signal, the H.264/AVC standard uses linear interpolation. In this paper, we suggest more effective method that uses a high precision filter, 6-tap FIR filter, 2-tap linear filter for chroma interpolation. The experimental result shows that the proposed method achieves the BD-Rate decrease without the PSNR decrease compared with Jm11.0kta2.7. The maximum BD-rate improvements on Y component are 1.3%, those of Cb and Cr components are 19.8%, 25.0%, respectively. The average BD-rate improvements on Y component are 0.5%, those of Cb and Cr components are 6.1%, 6.9%, respectively.
A Multi-View Images Interleaving for Slanted Parallax Barrier based Display Device
Jung, Kyung-Boo ; Park, Jong-Il ; Choi, Byung-Uk ;
Journal of Broadcast Engineering, volume 17, issue 3, 2012, Pages 491~502
DOI : 10.5909/JBE.2012.17.3.491
Flat panel-based parallax barrier or lenticular based 3D display devices that have been developed recently are designed to feel depth. In order to see a three-dimensional(3D) image by the display device, a multi-view image displayed on the flat panel must be regenerated from images of multi-views using a subsampling method. Previous subsampling methods are focused on reducing crosstalk. In this paper, we focus on a misalignment that is occurred on manufacture process of slanted parallax barrier based autostereoscopic display device. Therefore, we propose a interleaving method that considers tilt of slanted parallax barrier, aperture size, and distance between an autostereoscopic display device and a viewer to see a 3D image regardless of a viewer position.
Complexity-based Sample Adaptive Offset Parallelism
Ryu, Eun-Kyung ; Jo, Hyun-Ho ; Seo, Jung-Han ; Sim, Dong-Gyu ; Kim, Doo-Hyun ; Song, Joon-Ho ;
Journal of Broadcast Engineering, volume 17, issue 3, 2012, Pages 503~518
DOI : 10.5909/JBE.2012.17.3.503
In this paper, we propose a complexity-based parallelization method of the sample adaptive offset (SAO) algorithm which is one of HEVC in-loop filters. The SAO algorithm can be regarded as region-based process and the regions are obtained and represented with a quad-tree scheme. A offset to minimize a reconstruction error is sent for each partitioned region. The SAO of the HEVC can be parallelized in data-level. However, because the sizes and complexities of the SAO regions are not regular, workload imbalance occurs with multi-core platform. In this paper, we propose a LCU-based SAO algorithm and a complexity prediction algorithm for each LCU. With the proposed complexity-based LCU processing, we found that the proposed algorithm is faster than the sequential implementation by a factor of 2.38 times. In addition, the proposed algorithm is faster than regular parallel implementation SAO by 21%.
Voice Activity Detection using Motion and Variation of Intensity in The Mouth Region
Kim, Gi-Bak ; Ryu, Je-Woong ; Cho, Nam-Ik ;
Journal of Broadcast Engineering, volume 17, issue 3, 2012, Pages 519~528
DOI : 10.5909/JBE.2012.17.3.519
Voice activity detection (VAD) is generally conducted by extracting features from the acoustic signal and a decision rule. The performance of such VAD algorithms driven by the input acoustic signal highly depends on the acoustic noise. When video signals are available as well, the performance of VAD can be enhanced by using the visual information which is not affected by the acoustic noise. Previous visual VAD algorithms usually use single visual feature to detect the lip activity, such as active appearance models, optical flow or intensity variation. Based on the analysis of the weakness of each feature, we propose to combine intensity change measure and the optical flow in the mouth region, which can compensate for each other's weakness. In order to minimize the computational complexity, we develop simple measures that avoid statistical estimation or modeling. Specifically, the optical flow is the averaged motion vector of some grid regions and the intensity variation is detected by simple thresholding. To extract the mouth region, we propose a simple algorithm which first detects two eyes and uses the profile of intensity to detect the center of mouth. Experiments show that the proposed combination of two simple measures show higher detection rates for the given false positive rate than the methods that use a single feature.
Automatic Generation Method of Exceptional Test Cases for improving User Requirement Quality on Broadcast Receiver Software
Choi, In-Hwa ; Cho, Min-Ju ; Paik, Jong-Ho ; Hwang, Jun ;
Journal of Broadcast Engineering, volume 17, issue 3, 2012, Pages 529~539
DOI : 10.5909/JBE.2012.17.3.529
Testing is an important part of quality control in the software life cycle. One of the most important issues in the software testing is to generate the appropriate test cases. Generally, the software can be tested based on product understanding. However, it is not easy to create test cases that can ensure the quality of the software according to the clients' request. Especially, it is difficult to create test cases for abnormal or exceptional situations. In this paper, we present a novel approach to generate exceptional test cases at the design level of UML model. Furthermore, we describe the results of actual experiment where DAB(Digital Audio Broadcasting) parsing program is tested with previous method and also with the proposed method. The results implies that our proposed method of generating test cases for exceptional situations detect more faults than that of previous method by 7.08%.