• International Journal of Internet, Broadcasting and Communication
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• v.11 no.3
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• pp.64-70
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• 2019

Video files of video devices such as black box and CCTV may be damaged due to repetitive file read / write and physical environment factors. Even though there are available parts of video information, it may happen that playback can't be performed due to damage of some information. To playback the remaining video information normally, it is necessary to recover damaged areas of the files. For this, it is necessary to accurately check the damage range of the files. In this paper, we propose the design and implementation of a tool which detects damaged areas of a video file and recovers the usable area of the file to playback. The proposed tool can analyze and recover without additional information by analyzing common information of video container format and can check detailed damaged ranges with chunks. It is possible to perform recovery just only with the target file and reference file without any other information such as codec specification.

• The Transactions of the Korea Information Processing Society
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• v.4 no.6
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• pp.1443-1452
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• 1997

In this paper, we propose a new video structuring method for reconstructuring a 'structured logical video' which adds logical video information to a conventional structured video. Logical video information is composed of background, object, and situation. The proposed structured video is reconstructed in logical unit like episodes as well as in physical unit like shots. It can support many video functions and may be reusable in many video applications-video browsing, video retrieval, video editing, etc. we also present the video database management system in order to manage the proposed structured video is modeled on object-oriented concept and hierarchical structure. Also, we design and implement a video browsing and retrieval system using the proposed structured video.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.783-785
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• 2003

In recent years, the use of video in GIS is considered to be an important subject and many related studies result in VideoGIS. The virtual navigation is an important function that can be applied to various VideoGIS applications. For virtual navigation by video, the following problems must be solved. 1) Because the video route may be not exactly coincided with route that user wants to navigate, parts of several video clips may be required for single navigation. Virtual navigation should allow the user to move from one video to another at the proper position. We suggest the video segmentation method based on geographic data combined with video. 2) From a point to a destination, the change frequency of video must be minimized. The frequent change of video make user to mislead navigation route and cause the wasteful use of computing resource. We suggest methods that structure video segments and calculate weight value of each node and link.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10c
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• pp.411-413
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• 1998

Video영상을 의미있는 부분으로 나누는 Video segmentation을 위해서는 Video Cut의 검출이 필요하다. 본 논문에서는 Video Cut의 검출을 위하여 신경망을 이용하였으며, cut의 측정 방법으로 보색(complementary color)의 개념을 도입하였다. 이 방법을 이용하여, 여러개의 Video data로부터 학습을 한 뒤 새로운 Video에 대해서 테스트한 결과 좋은 성능을 보였다.

• Journal of the Korean Society for information Management
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• v.26 no.4
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• pp.113-128
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• 2009

Generally, a user uses briefly summarized video data and text information to search video contents. To provide fast and accurate search tool for video contents in the process of searching video contents, this study proposes a method to search video clips which was partitioned from video contents. To manage and control video contents and metadata, the proposed method creates structural information based on XML on a video and metadata, and saves the information into XML database. With the saved information, when a user try to search video contents, the results of user's query to retrieve video contents would be provided through creating Xpath which has class structure information. Based on the proposed method, an information retrieval system for video clips was designed and implemented.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.5
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• pp.1135-1142
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• 2014

With the continued popularity of mobile devices such as smart-phones and tables, the development of the various kinds of digital contents making tools has not increased only the productivity of the digital contents, but also the demand of them rapidly. Geo-contents which means the digital contents related to location(geographic) information has enabled the user custom services. Especially, there are already some commercial location-based services that provide the user to POI (Points of Interest) with the geo-image contents such as photos tagged by the location. In the geo-video contents, there could be several related locations in the whole video, but only one representative location is used to tag a location to the video. In this paper, we have define the geo-video as a video content which has as many locations as the number of frames composing the video. We have also proposed the geo-video making tools and a viewer to create and utilize the geo-video contents. The geo-video contents proposed in this paper, are widely used in location based video contents searching services.

• Journal of the Korea Society of Computer and Information
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• v.14 no.6
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• pp.117-123
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• 2009

In this paper, An algorithm which converts 2D video frames into 3D video frames of parallel looking stereo camea is proposed. The proposed algorithm finds the disparity information between two consecutive video frames and generates 3D video frames from the obtained disparity maps. The disparity information is obtained from the modified iterative convergence algorithm. The method of generating 3D video frames from the disparity information is also proposed. The proposed algorithm uses coherence method which overcomes the video pattern based algorithms.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.4
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• pp.1128-1139
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• 2012

With the development of three-dimensional display and related technologies, depth video coding becomes a new topic and attracts great attention from industries and research institutes. Because (1) the depth video is not a sequence of images for final viewing by end users but an aid for rendering, and (2) depth video is simpler than the corresponding color video, fast algorithm for depth video is necessary and possible to reduce the computational burden of the encoder. This paper proposes a fast mode decision algorithm for depth video coding based on depth segmentation. Firstly, based on depth perception, the depth video is segmented into three regions: edge, foreground and background. Then, different mode candidates are searched to decide the encoding macroblock mode. Finally, encoding time, bit rate and video quality of virtual view of the proposed algorithm are tested. Experimental results show that the proposed algorithm save encoding time ranging from 82.49% to 93.21% with negligible quality degradation of rendered virtual view image and bit rate increment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.9
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• pp.3043-3067
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• 2022

With the mobile traffic in the network increases exponentially, multi-access edge computing (MEC) develops rapidly. MEC servers are deployed geo-distribution, which serve many mobile terminals locally to improve users' QoE (Quality of Experience). When the cache space of a MEC server is full, how to replace the cached videos is an important problem. The problem is also called the cache replacement problem, which becomes more complex due to the dynamic video popularity and the varied video sizes. Therefore, we proposed a new cache replacement scheme based on local video popularity and video size to solve the cache replacement problem of MEC servers. First, we built a local video popularity model, which is composed of a popularity rise model and a popularity attenuation model. Furthermore, the popularity attenuation model incorporates a frequency-dependent attenuation model and a frequency-independent attenuation model. Second, we formulated a utility based on local video popularity and video size. Moreover, the weights of local video popularity and video size were quantitatively analyzed by using the information entropy. Finally, we conducted extensive simulation experiments based on the proposed scheme and some compared schemes. The simulation results showed that our proposed scheme performs better than the compared schemes in terms of hit rate, average delay, and server load under different network configurations.

• Journal of the Korean Data and Information Science Society
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• v.15 no.4
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• pp.891-898
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• 2004

An effective video indexing is required to manipulate large video databases. Most algorithms for video indexing have been commonly used histograms, edges, or motion features. In this paper, we propose an efficient algorithm using the luminance projection for video retrieval. To effectively index the video sequences and to reduce the computational complexity, we use the key frames extracted by the cumulative measure, and compare the set of key frames using the modified Hausdorff distance. Experimental results show that the proposed video indexing and video retrieval algorithm yields the higher accuracy and performance than the conventional algorithm.