Automated Content Restoration System for File-Based Broadcasting Environments

Metadata

Publisher: SMPTE — White Plains, NY, USA
Doc Type: Journal Article
Content Type: Original Research
Abbreviated Title: SMPTE Mot. Imag J.
Volume: 124, No. 8, pp. 39–46
Abstract: The quality of digital content has become increasingly significant in digital broadcasting systems. These days, consumers react to even subtle defects in media content, which, in turn, influence consumer satisfaction about the content. The development of digital broadcasting technology has replaced tape-based content with file-based content. Nonetheless, in the process of generating file-based content, people are often confronted with different types of errors. Detecting such errors and fixing them require a substantial amount of time and human labor, whereas being unable to fix them might lead to broadcast failure. Therefore, in this paper, we introduce an automated restoration system that reduces intensive human labor in fixing errors in the content generating process. Our automated video restoration system can be applied to different types of classic errors. We developed several customized algorithms to restore each error in the digital content derived from the Korean Broadcasting System video archives. Implementing our method as a familiar tool for content producers is also a consideration. We are developing the restoration system as a plug-in to a well-known nonlinear editing system.
Publication Date: 2015-11-01
DOI: 10.5594/j18639
ISSN: Print: 1545-0279 | Electronic: 2160-2492
Link: https://doi.org/10.5594/j18639
Author(s): Sungwoo Choi
bio
Sungwoo Choi is a research engineer at the Technical Research Institute of Korean Broadcasting System. He received a bachelor's degree of industrial and management engineering from Pohang University of Science and Technology (POSTECH) in 2005, and a master's degree in image processing from Korea Advanced Institute of Science and Technology (KAIST) in 2010. His research interests include image processing techniques for broadcasting and multimedia services with smart devices.
Moonsik Lee
bio
Moonsik Lee received a master's degree in electrical engineering from the KAIST in 1997. He is an engineering researcher at KBS Broadcast Technical Research Institute. He has conducted researches in IT-based production systems for broadcasting and video error detection/restoration system. Currently, he is participating in the KBS Video Server Development project.
Byunghee Jung
bio
Byunghee Jung is a deputy director of Smart Contents Platform research team in BTRI (Broadcast Technical Research Institute). She received Ph.D. And M.S. degrees in electrical engineering and computer science from KAIST (Korea Advanced Institute of Science and Technology) in 2006 and 1996, respectively. Since she joined KBS in 1996, she has worked on IT/ network-based production, online multimedia services, and multimedia analysis and retrieval. She has authored more than 80 papers and articles about the interesting issues in her work. She is currently a co-project manager of P/RTA Project of ABU and also a member of the editorial committee of the journal of Korea Society of Broadcasting Engineers and HCI Korea Conference. Jung received a Best Article Award from ABU (Asia Broadcasting Union) in 2006.
Kiok Ahn
bio
Kiok Ahn received an M.Sc. degree in computer engineering from Kyung Hee University, South Korea, in 2004, where he is currently pursuing a Ph.D. degree. Since 2012, he has been a director with the R&D Center, ITA Technology, Seoul, South Korea. His research interest includes multimedia data processing environment, expression recognition, intrusion detection system and video error detection.
Byungyong Ryu
bio
Byungyong Ryu received a B.Sc. degree in computer engineering from Kyung Hee University, Yongin-si, Gyeonggi-do, South Korea, in 2010, where he is currently pursuing a Ph.D. degree in the Department of Computer Engineering. His current research interests include facial e-pression, age, and gender recognition using face images, and image enhancement and medical image processing in dentistry.
Jaemyun Kim
bio
Jaemyun Kim received a B.Sc. degree in computer engineering from Kyung Hee University, Yongin-si, Gyeonggi-do, South Korea, in 2010, where he is currently pursuing a Ph.D. degree in the Department of Computer Engineering. His current research interests include object detection and tracking, pattern recognition, facial analysis, video error detection and concealment.
Oksam Chae
bio
Oksam Chae received a B.Sc. degree in electronics engineering from Inha University, Incheon, South Korea, in 1977, and M.S. and Ph.D. degrees in electrical and computer engineering from Oklahoma State University, Stillwater, in 1982 and 1986, respectively. He was a research engineer with Texas Instruments Image Processing Laboratory, Dallas, TX, from 1986 to 1988. Since 1988, he has been a professor with the Department of Computer Engineering, Kyung Hee University, Gyeonggido, South Korea. His current research interests include multimedia data processing environments, intrusion detection systems, sensor networks, and medical image processing in dentistry. Chae is a member of SPIE, the Korean Electronic Society (KES), and the Institute of Electronics, Information and Communication Engineers.
Copyright: © 2015 Society of Motion Picture and Television Engineers, Inc.

Bibliographic Reference(s)

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Moonsik Lee et al., “Automated Content Quality Check System for Tapeless Broadcasting Environments,” International Broadcasting Convention, Amsterdam, The Netherlands, Sept. 2010. EXTERNAL
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A.C. Kokaram, R.D. Morris, W.J. Fitzgerald, and P. J. W. Rayner, “Interpolation of Missing Data in Image Sequences,” IEEE Trans. Image Processing, 4(11):1509-1519, Nov. 1995. First presented at IBC 2014, Amsterdam, The Netherlands, 11-15 September 2014. This paper is published here by kind permission of the IBC. Copyright © IBC. THE AUTHORS Sungwoo Choi is a research engineer at the Technical Research Institute of Korean Broadcasting System. He received a bachelor’s degree of industrial and management engineering from Pohang University of Science and Technology (POSTECH) in 2005, and a master’s degree in image processing from Korea Advanced Institute of Science and Technology (KAIST) in 2010. His research interests include image processing techniques for broadcasting and multimedia services with smart devices. EXTERNAL
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Sungwoo Choi, Moonsik Lee, Byunghee Jung, Kiok Ahn, Byungyong Ryu, Jaemyun Kim, and Oksam Chae; Automated Content Restoration System for File-Based Broadcasting Environments, SMPTE Motion Imaging Journal ( Volume: 124, Issue: 8, November 2015); SMPTE, 2015. Available at https://doi.org/10.5594/j18639

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Sungwoo Choi, Moonsik Lee, Byunghee Jung, Kiok Ahn, Byungyong Ryu, Jaemyun Kim, and Oksam Chae; Automated Content Restoration System for File-Based Broadcasting Environments, SMPTE Motion Imaging Journal ( Volume: 124, Issue: 8, November 2015); SMPTE, 2015. Available at https://doi.org/10.5594/j18639

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<span class="citation">Sungwoo Choi, Moonsik Lee, Byunghee Jung, Kiok Ahn, Byungyong Ryu, Jaemyun Kim, and Oksam Chae; <cite>Automated Content Restoration System for File-Based Broadcasting Environments</cite>, SMPTE Motion Imaging Journal ( Volume: 124, Issue: 8, November 2015); SMPTE, 2015. Available at <a href="https://doi.org/10.5594/j18639" target="_blank" rel="noopener">https://doi.org/10.5594/j18639</a></span>

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Sungwoo Choi, Moonsik Lee, Byunghee Jung, Kiok Ahn, Byungyong Ryu, Jaemyun Kim, and Oksam Chae; <cite id="bib-10-5594-j18639">Automated Content Restoration System for File-Based Broadcasting Environments</cite>, SMPTE Motion Imaging Journal ( Volume: 124, Issue: 8, November 2015); SMPTE, 2015
<span class="doi">10.5594/j18639</span>
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