• Title/Summary/Keyword: 동영상 정보

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A Study on the Cut Detection System of Video Data using MSE (MSE를 이용한 동영상데이터의 컷 검출시스템에 관한 연구)

  • Kim Dan-Hwan;Joung Ki-Bong;Oh Moo-Song
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.7
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    • pp.1399-1404
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    • 2004
  • The development of computer technology and the advancement of the technology of information and communications spread the technology of multimedia and increased the use of multimedia data with large capacity. Users can grasp the overall video data and they are able to play wanted video back. To grasp the overall video data it is necessary to offer the list of summarized video data information. In order to search video efficiently an index process of video data is essential and it is also indispensable skill. Therefore, this thesis suggested the effective method about the cut detection of frames which will become a basis of an index based on contents of video image data. This suggested method was detected as the unchanging pixel rotor intelligence value, classified into diagonal direction. Pixel value of color detected in each frame of video data is stored as A(i, i) matrix - i is the number of frames, i is an image height of frame. By using the stored pixel value as the method of UE(Mean Square Error) I calculated a specified value difference between frames and detected cut quickly and exactly in case it is bigger than threshold value set in advance. To carry out an experiment on the cut detection of lames comprehensively, 1 experimented on many kinds of video, analyzing and comparing efficiency of the cut detection system.

Visual Verb and ActionNet Database for Semantic Visual Understanding (동영상 시맨틱 이해를 위한 시각 동사 도출 및 액션넷 데이터베이스 구축)

  • Bae, Changseok;Kim, Bo Kyeong
    • The Journal of Korean Institute of Next Generation Computing
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    • v.14 no.5
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    • pp.19-30
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    • 2018
  • Visual information understanding is known as one of the most difficult and challenging problems in the realization of machine intelligence. This paper proposes deriving visual verb and construction of ActionNet database as a video database for video semantic understanding. Even though development AI (artificial intelligence) algorithms have contributed to the large part of modern advances in AI technologies, huge amount of database for algorithm development and test plays a great role as well. As the performance of object recognition algorithms in still images are surpassing human's ability, research interests shifting to semantic understanding of video contents. This paper proposes candidates of visual verb requiring in the construction of ActionNet as a learning and test database for video understanding. In order to this, we first investigate verb taxonomy in linguistics, and then propose candidates of visual verb from video description database and frequency of verbs. Based on the derived visual verb candidates, we have defined and constructed ActionNet schema and database. According to expanding usability of ActionNet database on open environment, we expect to contribute in the development of video understanding technologies.

Design of Database Schema and Query Type for Supporting Caption- and Content-based News Video Searches (주석 및 내용 기반 뉴스 동영상 검색을 위한 데이터베이스 스키마 및 질의 유형 설계)

  • 전미경;김인홍;강현석
    • Proceedings of the Korea Multimedia Society Conference
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    • 1998.10a
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    • pp.79-84
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    • 1998
  • 일반적으로 동영상 검색을 위해 주석 기반과 내용 기반 검색을 사용하는데, 주석 기반 검색은 사용자의 주관이 개입되어 일관성을 잃기 쉽고, 내용 기반 검색은 동영상 데이터가 담고 있는 의미가 추출되기 어렵다는 단점을 가지고 있다. 그래서, 본 논문에서는 이 두 검색 기법을 상호 보완하여 검색의 효율성과 정확성을 높이기 위해 통합 동영상 데이터 모델(IVDM)을 제안하고, 이것을 기반으로 뉴스 동영상 검색을 위한 데이터베이스 스키마와 질의 유형을 설계한다. 이 모델은 동영상 데이터를 계층적으로 구조화한 형태로 상위수준에서는 주제별로 부여된 메타 정보로 주석 기반 검색을 지원하고, 하위 수준에서는 동영상 데이터에서 색깔, 모양, 움직임, 질감 등의 특징 데이터를 추출하여 내용 기반 검색을 지원한다.

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아동보호를 위한 동영상 콘텐츠 정보보호 경량기법

  • Nah, Jae-Hoon;Kwon, Hyeok-Chan;Lee, Byung-Gil;Cho, Hyun-Sook
    • Review of KIISC
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    • v.22 no.3
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    • pp.41-47
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    • 2012
  • 인터넷을 통하여 스트림 형태로 제공되는 동영상 콘텐츠에 대하여 아동의 접근을 손쉽게 제어 할 수 있는 방법은 콘텐츠에 암호화를 하는 것이다. 실시간성을 고려하여야 하는 콘텐츠들은 서버로부터 단말까지 콘텐츠의 전달 및 복호화하는 과정까지의 시간이 사전에 허용되는 한계치 내에서 서비스가 이루어지도록 설계가 되어야 한다. 이러한 요구사항에 걸맞는 암호화 방식은 부분(Selective) 암호화가 있으며, 동영상에 효율적으로 부분 암호화를 적용할 수 있도록 SVC (Scalable Video Coding) 표준이 권고 되고 있다. SVC 영상을 보호하기 위해서는 영상의 어떤 부분을 암호화 할 것인지 그리고 언제 암호화를 적용 할 것 인지를 고려해야 한다. 본 논문에서 제안한 기술은 미디어의 확장성을 유지하면서 계층별 접근 제어가 가능하며 영상의 재사용을 지원한다.

Data Augmentation Scheme for Semi-Supervised Video Object Segmentation (준지도 비디오 객체 분할 기술을 위한 데이터 증강 기법)

  • Kim, Hojin;Kim, Dongheyon;Kim, Jeonghoon;Im, Sunghoon
    • Journal of Broadcast Engineering
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    • v.27 no.1
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    • pp.13-19
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    • 2022
  • Video Object Segmentation (VOS) task requires an amount of labeled sequence data, which limits the performance of the current VOS methods trained with public datasets. In this paper, we propose two effective data augmentation schemes for VOS. The first augmentation method is to swap the background segment to the background from another image, and the other method is to play the sequence in reverse. The two augmentation schemes for VOS enable the current VOS methods to robustly predict the segmentation labels and improve the performance of VOS.

A Video Information Management System for Supporting Caption- and Content-based Searches (주석 및 내용 기반 검색을 지원하는 동영상 정보 관리 시스템)

  • 전미경;김인홍;류시국;전용기;강현석
    • Journal of Korea Multimedia Society
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    • v.2 no.3
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    • pp.231-242
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    • 1999
  • Generally, either caption-based search method or content-based search methods is used to retrieve video information. However, each search method has its limitations. Caption-based search is apt to lose consistency as for user's subjects, and content-based search is hard to extract general means. To enhance efficiency and correctness as for complementing each other, we propose the Integrated Video Data Model(IVDM) which integrates the two search methods, to device the model, we analyze video data and construct the structure of video information hierarchically. IVDM supports caption-based search as assigning meta-data by analyzing thematic-unit in the higher level, and also supports content-based search as extracting feature data by analyzing the content of video data in the lower level. We design Object-Oriented database schema of news video, based-on the IVDM. And we provide 4-type of queries and query processing algorithm to retrieve news video information.

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Effective PPL Arrangements in the Screen of Multimedia Contents (멀티미디어 콘텐츠화면에서의 효과적인 PPL 배치)

  • Lee, Young-Jae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.5
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    • pp.875-881
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    • 2007
  • This study explores the attention effects of PPL(product placement) in multimedia contents. PPL has been attracted attention in multimedia as well as marketing communication field as a beneficiary model. For the research, multimedia screen is divided into 9 sections and the serial 9 digit($1{\sim}9$) is assigned to the each part of the screen. The visual exposure forms of each 9 digit are composed by 2-dimension(2D) and 3-dimension(3D). And the visual exposure patterns of each 9 digit are consisted of stopping and moving image. As a result, the 5th quartering has been proved the most attracted attention regardless of all exposure forms including 2D/3D and slopping/moving image. This means center of the multimedia screen is the best place for PPL. Especially in one digit moving screen the attention of the digit has reached the climax. This suggests moving PPL is able to get more attention than stopping. These results provide the most effective PPL position in the screen of the multimedia and PPL's visual exposure forms for maximizing multimedia user's attention. Finally, these findings can be a guideline fer message arrangements of the multimedia screen.

Similar Movie Contents Retrieval Using Peak Features from Audio (오디오의 Peak 특징을 이용한 동일 영화 콘텐츠 검색)

  • Chung, Myoung-Bum;Sung, Bo-Kyung;Ko, Il-Ju
    • Journal of Korea Multimedia Society
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    • v.12 no.11
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    • pp.1572-1580
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    • 2009
  • Combing through entire video files for the purpose of recognizing and retrieving matching movies requires much time and memory space. Instead, most current similar movie-matching methods choose to analyze only a part of each movie's video-image information. Yet, these methods still share a critical problem of erroneously recognizing as being different matching videos that have been altered only in resolution or converted merely with a different codecs. This paper proposes an audio-information-based search algorithm by which similar movies can be identified. The proposed method prepares and searches through a database of movie's spectral peak information that remains relatively steady even with changes in the bit-rate, codecs, or sample-rate. The method showed a 92.1% search success rate, given a set of 1,000 video files whose audio-bit-rate had been altered or were purposefully written in a different codec.

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A Digital Right Management System based on Shared Key fool for Video Data Protection (동영상 데이터 보호를 위한 공유 키 풀 기반의 DRM 시스템)

  • Kim Jung-Jae;Park Jae-Pyo;Jun Moon-Seog
    • The KIPS Transactions:PartC
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    • v.12C no.2 s.98
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    • pp.183-190
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    • 2005
  • In this thesis, first, we propose I-frame encryption techniques of video data for video data itself encryption and propose license agent that processing user's certification and decryption in client system automatically when user execute encrypted video data in system server. License agent runs user's certification, encryption and decryption of video data based on PID(Public Key Infrastructure) using shared key-pool when execute of video data. Also, compose duplex buffer control and propose real time decryption method using efficient buffer scheduling to reduce much playing delay times that happen processing decryption when execute of videoa data of high-capacity.

Coordination Information Marking and Sharing Service Based On YouTube Video Information (유튜브 영상 정보 기반의 위치 정보 마킹 및 공유 서비스)

  • Yoon, Dongju;Jeong, Hun;Im, Yubin;Lee, Gwangyeol;Kim, Youngjong
    • Annual Conference of KIPS
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    • 2022.05a
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    • pp.689-690
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    • 2022
  • 동영상 공유 플랫폼의 유저가 늘어남에 따라 영상을 통해 다양한 정보가 공유된다. 하지만 다양한 정보들이 영상으로 제한된 채 사용되고 있다. 이러한 제한점의 개선을 위하여 우리는 유튭콕을 기획하였다. 유튭콕 애플리케이션은 유튜브의 영상 정보를 기반으로 하는 위치 정보 마킹 및 공유 서비스이다. 유튭콕을 통해 관심이 있는 동영상의 정보를 받아와 지도를 생성하여 위치 정보를 가시적으로 확인할 수 있다. 또한 지도 공유 기능을 통해 타 유저와의 공유 서비스를 제공한다.