• The Journal of the Korea Contents Association
• /
• v.5 no.1
• /
• pp.65-71
• /
• 2005

With the rapid improvement of the internet and information technology, digital contents containing knowledge and information resource is circulated through the internet. A circulation system based on a standardized identifier is required to share this kind of information, generated from seminars and workshops conducted in the area of science and technology and saved in the form of digital video contents. The main objective of this study is on constructing an information circulation system based on the KOI identifier to effectively share the digital video contents produced from seminars and workshops related to the area of science and technology. Furthermore, the overview and status of a standardized identifier, and the functional aspects of the system such as the methods to apply the KOI identification system on the subject and its slides of digital video contents, a digital video contents management system, a centralized identifier management system, and the methods applied for the search of digital video metadata have been suggested to support construction of the information circulation system.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.7
• /
• pp.17-25
• /
• 2022

Hash functions are widely used for fast equality analysis of video files because of their fixed small output sizes regardless of their input sizes. However, the hash function has the possibility of a hash collision in which different inputs derive the same output value, so there is a problem that different video files may be mistaken for the same file. In this paper, we propose an equality analysis scheme in which different video files always derive different output values using identifier information and double hash. The scheme first extracts the identifier information of an original video file, and attaches it into the end of the original file with a steganography method. Next the scheme calculates two hash output values of the original file and the extended file with attached identifier information. Finally the scheme utilizes the identifier information, the hash output value of the original file, and the hash output value of the extended file for the equality analysis of video files. For evaluation, we implement the proposed scheme into a practical software tool and show that the proposed scheme performs well the equality analysis of video files without hash collision problem and increases the resistance against the malicious hash collision attack.

• Journal of Broadcast Engineering
• /
• v.14 no.3
• /
• pp.288-298
• /
• 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 the Korean BIBLIA Society for library and Information Science
• /
• v.31 no.3
• /
• pp.213-234
• /
• 2020

The purpose of this study is to lay the foundation for the construction of an identification system by proposing descriptive items that can identify the creators who participated in the production of broadcasting video records. In order to uniquely identify the creators of broadcasting video records, a total of seven descriptive categories, including name, gender, date of birth, name identifier system, nationality, affiliated agencies, and major fields, were organized into three categories: individual, affiliation, and role. These categories were classified and categorized into two stages. Based on the proposed structure, a total of 10 basic facets and 14 sub-facets were constructed to establish a faceted structure for identifying the creators of broadcasting video records.

• Journal of Internet Computing and Services
• /
• v.18 no.1
• /
• pp.37-41
• /
• 2017

In this paper, a platform was proposed that can service the streaming of location based real-time video-clip for smart-travel-services to work with PPL(Product Placement). The location information of drama like as LTE GPS and Beacon were used to provide the drama video with the PUSH service. And PPL DB with the attributes like as picture, video, music and URI(Uniform resource Identifier) was designed. As a result, this platform could provide the location based video streaming service that could replace the original PPL properties, color or shape, with the other properties by the interactive tagging the PPL DB in drama scenes. The proposed platform could provide the location based real-time video streaming service that can alter the PPL properties with the request of service provider.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2018.05a
• /
• pp.82-85
• /
• 2018

The purpose of this paper is to improve the authentication method for IP camera user authentication. Since existing authentication uses knowledge-based authentication method, if ID and PW are exposed to attack by attacker, IP camera becomes defenseless from attacker. The attacker can access the IP Camera and acquire and distribute real time video and voice, which can be exploited as a second crime, and there is a fear of a secret leak when a secret facility is installed. In order to compensate for this vulnerability, this paper proposes a DUI authentication method that identifies and registers a device using DUI (Device Unique Identifier), blocks access to unauthorized devices by subordinating the device to the IP Camera and authenticates only authorized devices.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2008.11a
• /
• pp.229-232
• /
• 2008

본 논문에서는 방송프로그램 저작권 식별관리를 위한 방송프로그램의 Video Signature와 국가표준콘텐츠식별 체계인 UCI(Universal & Ubiquitous Content Identifier)와의 연계 방안을 제시한다. Video Signature는 UCI와 같은 식별자의 인위적인 부여 과정이 없더라도 비디오 콘텐츠 자체에서 직접 특징정보를 추출할 수 있기 때문에, 이미 배포 유통된 콘텐츠에 대해서도 식별 확인이 가능하다. 따라서, 본 연구에서는 UCI 표준식별체계와 방송프로그램의 Video Signature와의 지속적인 연계를 위하여, 바이너리로 표현된 Video Signature가 포함된 UCI 응용 메타데이터를 정의한다. 그리고 UCI 표준식별체계 기반의 Video Signature 전송 및 관리 메카니즘에 기반한 방송프로그램의 저작권 식별관리 시나리오를 제시한다.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.46 no.3
• /
• pp.10-17
• /
• 2009

This paper proposes a compressed domain signature extraction method which can be used for CBCD (Content Based Copy Detection). Since existing signature extraction methods for the CBCD are executed in spatial domain, they need additional computations to decode the compressed video before the signature extraction. To avoid this overhead, we generate a thumbnail image directly from the compressed video without full decoding. Then we can extract the video signature from the thumbnail image. Experimental results of extracting brightness ordering information as the signature for CBCD show that our proposed method is 2.8 times faster than the spatial domain method while maintaining 80.98% accuracy.

• Proceedings of the IEEK Conference
• /
• 2008.06a
• /
• pp.41-44
• /
• 2008

Digital visual information(image and video) plays an important role in our society, and everyday, more and more visual information is available from many sources around the world. And there is an increasing number of cases where the these visual informations are created, stored, retrieved, and re-used by computational systems. But information modification, distortion and compilation occurred through trans-coding or legal/illegal information processing often make these operations difficult. Subordinately, advanced technology or commercialized software for retrieving and identifying the desired information among these massive and diverse ones is strongly required. In the paper, some recent activities and technical content of MPEG-7 Visual Group are described, especially with regarding to Visual Identifier.

• Journal of Intelligence and Information Systems
• /
• v.18 no.2
• /
• pp.47-60
• /
• 2012

Video data comes in the form of the unstructured and the complex structure. As the importance of efficient management and retrieval for video data increases, studies on the video parsing based on the visual features contained in the video contents are researched to reconstruct video data as the meaningful structure. The early studies on video parsing are focused on splitting video data into shots, but detecting the shot boundary defined with the physical boundary does not cosider the semantic association of video data. Recently, studies on structuralizing video shots having the semantic association to the video scene defined with the semantic boundary by utilizing clustering methods are actively progressed. Previous studies on detecting the video scene try to detect video scenes by utilizing clustering algorithms based on the similarity measure between video shots mainly depended on color features. However, the correct identification of a video shot or scene and the detection of the gradual transitions such as dissolve, fade and wipe are difficult because color features of video data contain a noise and are abruptly changed due to the intervention of an unexpected object. In this paper, to solve these problems, we propose the Scene Detector by using Color histogram, corner Edge and Object color histogram (SDCEO) that clusters similar shots organizing same event based on visual features including the color histogram, the corner edge and the object color histogram to detect video scenes. The SDCEO is worthy of notice in a sense that it uses the edge feature with the color feature, and as a result, it effectively detects the gradual transitions as well as the abrupt transitions. The SDCEO consists of the Shot Bound Identifier and the Video Scene Detector. The Shot Bound Identifier is comprised of the Color Histogram Analysis step and the Corner Edge Analysis step. In the Color Histogram Analysis step, SDCEO uses the color histogram feature to organizing shot boundaries. The color histogram, recording the percentage of each quantized color among all pixels in a frame, are chosen for their good performance, as also reported in other work of content-based image and video analysis. To organize shot boundaries, SDCEO joins associated sequential frames into shot boundaries by measuring the similarity of the color histogram between frames. In the Corner Edge Analysis step, SDCEO identifies the final shot boundaries by using the corner edge feature. SDCEO detect associated shot boundaries comparing the corner edge feature between the last frame of previous shot boundary and the first frame of next shot boundary. In the Key-frame Extraction step, SDCEO compares each frame with all frames and measures the similarity by using histogram euclidean distance, and then select the frame the most similar with all frames contained in same shot boundary as the key-frame. Video Scene Detector clusters associated shots organizing same event by utilizing the hierarchical agglomerative clustering method based on the visual features including the color histogram and the object color histogram. After detecting video scenes, SDCEO organizes final video scene by repetitive clustering until the simiarity distance between shot boundaries less than the threshold h. In this paper, we construct the prototype of SDCEO and experiments are carried out with the baseline data that are manually constructed, and the experimental results that the precision of shot boundary detection is 93.3% and the precision of video scene detection is 83.3% are satisfactory.