• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.8
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• pp.1257-1264
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• 2017

In video content watching service, when a user requests video content, the content server has to transmit the entire video to the client for watching. This transmission delay increases as the size of video content increases. In order to solve the transmission delay problem, a prefetching technique can be used in which a video content to be watched by a user is predicted and transmitted to a client before the user requests it. In this paper, we propose a prefetching system considering multiple indices for video content. In the proposed method, video content to be prefetched is selected by comprehensively analyzing the order relation index indicating the order of viewing the videos of the users, the similarity index between the video contents, and the popularity index reflecting the viewing frequency of the video content. Experimental results show that the maximum accuracy is achieved when prefetching uses only the order relation index for movie contents.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.235-237
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• 2022

Video content is divided into long-form video content and short-form video content according to the length. Long form video content is created with a length of 15 minutes or longer, and all frames of the captured video are included without editing. Short-form video content can be edited to a shorter length from 1 minute to 15 minutes, and only some frames from the frames of the captured video. Due to the recent growth of the single-person broadcasting market, the demand for short-form video content to increase viewers is increasing. Therefore, there is a need for research on content editing technology for editing and generating short-form video content. This study studies the technology to create short-form videos of main scenes by capturing images, voices, and motions. Short-form videos of key scenes use a pre-trained highlight extraction model through machine learning. An automatic video editing system and method for automatically generating a highlight video is a core technology of short-form video content. Machine learning-based automatic video editing method and system research will contribute to competitive content activities by reducing the effort and cost and time invested by single creators for video editing

• Speech Sciences
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• v.12 no.1
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• pp.135-142
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• 2005

An important aspect of video indexing is the ability to segment video into meaningful segments, i.e., content-based video segmentation. Since the audio signal in the sound track is synchronized with image sequences in the video program, a speech signal in the sound track can be used to segment video into meaningful segments. In this paper, we propose a new approach to content-based video segmentation. This approach uses closed caption to construct a recognition network for speech recognition. Accurate time information for video segmentation is then obtained from the speech recognition process. For the video segmentation experiment for TV news programs, we made 56 video summaries successfully from 57 TV news stories. It demonstrates that the proposed scheme is very promising for content-based video segmentation.

• Journal of Broadcast Engineering
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• v.14 no.3
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• pp.288-298
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• 2009

In this paper, we propose a scheme to associate content-based video signature with Universal Content Identifier (UCI) system of broadcast content for copyright identification and management. Note that content-based video signature can identify a previously distributed content since it is directly extracted from content itself without allocation process of identifier such as UCI. Thus, we design the schema of UCI application metadata, which provides a video signature in order to consistently maintain a systemic link between UCI and the video signature. Also, we present the scenarios of copyright identification, management and additional service, which are based on transmission and management mechanism of video signature with UCI identification system.

• Journal of KIISE:Software and Applications
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• v.30 no.5_6
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• pp.497-502
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• 2003

Content-based video copy detection is a complementary approach to watermarking. As opposed to watermarking, which relies on inserting a distinct pattern into the video stream, video copy detection techniques match content-based signatures to detect copies of video. Existing typical content-based copy detection schemes have relied on image matching which is based on key frame detection. This paper proposes a motion directional histogram, which is quantized and accumulated the direction of motion, for video copy detection. The video clip is represented by a motion directional histogram as a 1-dimensional graph. This method is suitable for real time indexing and counting the TV CF verification that is high motion video clips.

• KIISE Transactions on Computing Practices
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• v.22 no.7
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• pp.326-331
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• 2016

The proportion of video content consumption is growing dramatically but some users avoid it. The reasons are initial time to load, lack of the time to watch video content, and particularly a traffic issues on mobile devices. The proposed Video-to-Images(V2I) technology offers a new user experience to end users through converting video into images without content providers' or users' effort. Using the V2I technology, consumption methods of video content with new type of content by users and the advantages of the new user experience will be introduced. Furthermore, the overall architecture of the V2I will be explained.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.10A
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• pp.1021-1028
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• 2002

This paper proposes a method to extract the content curve that reflects changes in video content from the MPEG video in the compressed domain, and also describes a video summary generation technique which can read video effectively and rapidly from the content curve. Existing video summary techniques have a disadvantage of taking significant amount of time to generate the video summary due to complex calculations in the decoding process. Moreover, the existing techniques, which use video content curve, require to perform many calculations to process the high dimensional content curve. However, the proposed technique generates video summary fast via the linear approximation of the proposed curve, after extraction the two dimensional content curve directly. In addition, the proposed technique has a merit that the user can set any number of key-frames and amount of calculation that form the video summary.

• Journal of Korean Academy of Nursing
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• v.42 no.7
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• pp.936-946
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• 2012

Purpose: This study was done to develop a video discharge education program focusing on mother-infant interaction to facilitate the development of maternal role confidence for mothers of premature infants. Methods: The process of the program was based on the Network-based Instructional System Design suggested by Jung (1999). For the content of the program, needs and concerns of mothers of premature infants found on web sites and existing literature were analyzed. Based on this content, the scenario and the video were developed. Nurses and mothers of premature infants participated in the process of testing the content validity, scenario development, and evaluation of final video production. The final video has two parts and lasts 21 minutes. The first part focuses on mother-premature infant interaction and the second part focuses on health management of infants. Results: Eleven mothers of premature infants participated in the evaluation of the appropriateness of the video as a teaching method and for educational content. They reported that the content on mother-infant interaction, maternal sensitivity, and maternal role confidence was especially beneficial. Conclusion: The findings indicate that video program is effective for education on maternal-premature infant interaction and the use of video in practical settings is strongly recommended.

• Journal of Broadcast Engineering
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• v.2 no.2
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• pp.125-135
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• 1997

This paper is concerned with realistic mainpulation of content in video sequences. Manipulation of content in video sequences is one of the content-based functionalities for MPEG-4 Visual standard. We present an approach to synthesizing video sequences by using the intermediate outputs of three-dimensional (3D) motion and depth analysis. For concreteness, we focus on video showing 3D motion of an observer relative to a scene containing planar runways (or roads). We first present a simple runway (or road) model. Then, we describe a method of identifying the runway (or road) boundary in the image using the Point of Heading Direction (PHD) which is defined as the image of, the ray along which a camera moves. The 3D motion of the camera is obtained from one of the existing 3D analysis methods. Then, a video sequence containing a runway is manipulated by (i) coloring the scene part above a vanishing line, say blue, to show sky, (ii) filling in the occluded scene parts, and (iii) overlaying the identified runway edges and placing yellow disks in them, simulating lights. Experimental results for a real video sequence are presented.

• 한국정보디스플레이학회:학술대회논문집
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• 2007.08b
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• pp.1231-1234
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• 2007

This paper presents the overview of 3D video processing technologies for 3DTV such as 3D content generation, 3D video codec and video processing techniques for 3D displays. Some experimental results for 3D contents generation are shown in 3D mixed reality and 2D/3D conversion.