• Title, Summary, Keyword: 이벤트 기반의 동영상 검색

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An Event-based KFD Video Retrieval System (이벤트 기반 KFD 동영상 검색 시스템)

  • Park, Seung-jin;Oh, Seung-geun;Kang, Bong-su;Park, Dai-hee
    • Proceedings of the Korea Information Processing Society Conference
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    • pp.862-865
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    • 2010
  • 본 논문에서는 다양한 이벤트들을 기반으로 KFD 동영상 내의 주요 장면들을 검색하는 KFD 동영상 검색 시스템을 제안한다. 제안된 시스템은 선행 연구인 KFD 웹 데이터베이스 시스템에서 정의한 온톨로지 기반의 이벤트에 대한 히스토리 정보를 생성한 후, 이를 이용하여 KFD 동영상의 주요 이벤트들을 요약할 수 있으며 빠르고 정확하게 검색한다. 또한 제안된 시스템은 KFD 동영상과 내담자 스케치 동영상의 히스토리 정보를 매칭함으로서 멀티모달 동기화 재생 기능을 제공한다. 가족미술치료사는 본 시스템에서 제공하는 이벤트 기반의 멀티모달 동기화 검색 및 재생 기능을 이용하여 보다 의미론적이고 신뢰성 있는 KFD 사정 평가를 수행할 수 있을 것으로 기대된다.

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Retrieval of Player Event in Golf Videos Using Spoken Content Analysis (음성정보 내용분석을 통한 골프 동영상에서의 선수별 이벤트 구간 검색)

  • Kim, Hyoung-Gook
    • The Journal of the Acoustical Society of Korea
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    • v.28 no.7
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    • pp.674-679
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    • 2009
  • This paper proposes a method of player event retrieval using combination of two functions: detection of player name in speech information and detection of sound event from audio information in golf videos. The system consists of indexing module and retrieval module. At the indexing time audio segmentation and noise reduction are applied to audio stream demultiplexed from the golf videos. The noise-reduced speech is then fed into speech recognizer, which outputs spoken descriptors. The player name and sound event are indexed by the spoken descriptors. At search time, text query is converted into phoneme sequences. The lists of each query term are retrieved through a description matcher to identify full and partial phrase hits. For the retrieval of the player name, this paper compares the results of word-based, phoneme-based, and hybrid approach.

Natural Language based Video Retrieval System with Event Analysis of Multi-camera Image Sequence in Office Environment (사무실 환경 내 다중카메라 영상의 이벤트분석을 통한 자연어 기반 동영상 검색시스템)

  • Lim, Soo-Jung;Hong, Jin-Hyuk;Cho, Sung-Bae
    • 한국HCI학회:학술대회논문집
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    • pp.384-389
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    • 2008
  • Recently, the necessity of systems which effectively store and retrieve video data has increased. Conventional video retrieval systems retrieve data using menus or text based keywords. Due to the lack of information, many video clips are simultaneously searched, and the user must have a certain level of knowledge to utilize the system. In this paper, we suggest a natural language based conversational video retrieval system that reflects users' intentions and includes more information than keyword based queries. This system can also retrieve from events or people to their movements. First, an event database is constructed based on meta-data which are generated by domain analysis for collected video in an office environment. Then, a script database is also constructed based on the query pre-processing and analysis. From that, a method to retrieve a video through a matching technique between natural language queries and answers is suggested and validated through performance and process evaluation for 10 users The natural language based retrieval system has shown its better efficiency in performance and user satisfaction than the menu based retrieval system.

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Video Event Analysis and Retrieval System for the KFD Web Database System (KFD 웹 데이터베이스 시스템을 위한 동영상 이벤트 분석 및 검색 시스템)

  • Oh, Seung-Geun;Im, Young-Hee;Chung, Yong-Wha;Chang, Jin-Kyung;Park, Dai-Hee
    • The Journal of the Korea Contents Association
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    • v.10 no.11
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    • pp.20-29
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    • 2010
  • The typical Kinetic Family Drawing (KFD) Web database system, a form of prototype system, has been developed, relying on the suggestions from family art therapists, with an aim to handle large amounts of assessment data and to facilitate effective implement of assessment activities. However, unfortunately such a system has an intrinsic problem that it fails to collect clients' behaviors, attitudes, facial expressions, voices, and other critical information observed while they are drawing. Accordingly we propose the ontology based video event analysis and video retrieval system in this paper, in order to enhance the function of a KFD Web database system by using a web camera and drawing tool. More specifically, a newly proposed system is designed to deliver two kinds of services: the client video retrieval service and the sketch video retrieval service, accompanied by a summary report of occurred events and dynamic behaviors relative to each family member object, respectively. The proposed system can support the reinforced KFD assessments by providing quantitative and subjective information on clients' working attitudes and behaviors, and KFD preparation processes.

Video Summarization System Based on Multi-Camera (멀티카메라 기반 동영상 요약 시스템)

  • Im, Seung-Bin;Park, Han-Saem;Min, Jun-Ki;Hwang, Keum-Sung;Cho, Sung-Bae
    • Proceedings of the Korean Information Science Society Conference
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    • pp.44-48
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    • 2006
  • 디지털 카메라 기술의 발전과 보급으로 공공건물의 보안 카메라부터 개인 휴대 단말기의 카메라까지 동영상 데이터를 수집할 수 있는 수단이 크게 늘었으며, 그 활용 또한 매우 일반화되었다. 동영상 데이터는 문서나 음성 등의 다른 데이터보다 훨씬 구체적이고 사실적인 정보를 포함하므로 과거의 기억을 정리하고 복원하기 위한 유용한 방법이 될 수 있다. 동영상 데이터의 증가와 함께 동영상 요약에 대한 연구가 최근에 활발히 진행되고 있는데, 이들 연구의 대부분은 하나의 동영상을 요약하고 분석하기 위한 것이다. 본 논문에서는 사무실에 여러 대의 카메라를 설치하여 데이터를 저장하며, 이렇게 수집된 동영상 데이터를 효과적으로 요약하고 검색하는 시스템을 구축한다. 동일한 이벤트를 여러 방향에서 바라보고, 그 상황을 가장 잘 설명한 카메라를 선택 할 수 있다는 점에서 멀티 카메라의 사용은 장점을 갖는다. 사전에 정의된 이벤트에 따라 전문가가 어노테이션을 부여하도록 하였으며, 전문가가 설정한 유틸리티에 따라 카메라 선택 및 요약이 이루어진다. 다양한 옵션에 따라 요약된 결과로 사용자 평가를 수행하였다.

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Modeling User Preference based on Bayesian Networks for Office Event Retrieval (사무실 이벤트 검색을 위한 베이지안 네트워크 기반 사용자 선호도 모델링)

  • Lim, Soo-Jung;Park, Han-Saem;Cho, Sung-Bae
    • Journal of KIISE:Computing Practices and Letters
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    • v.14 no.6
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    • pp.614-618
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    • 2008
  • As the multimedia data increase a lot with the rapid development of the Internet, an efficient retrieval technique focusing on individual users is required based on the analyses of such data. However, user modeling services provided by recent web sites have the limitation of text-based page configurations and recommendation retrieval. In this paper, we construct the user preference model with a Bayesian network to apply the user modeling to video retrieval, and suggest a method which utilizes probability reasoning. To do this, context information is defined in a real office environment and the video scripts acquired from established cameras and annotated the context information manually are used. Personal information of the user, obtained from user input, is adopted for the evidence value of the constructed Bayesian Network, and user preference is inferred. The probability value, which is produced from the result of Bayesian Network reasoning, is used for retrieval, making the system return the retrieval result suitable for each user's preference. The usability test indicates that the satisfaction level of the selected results based on the proposed model is higher than general retrieval method.

Introduction of Mobile Supporting Functionalities for Promoting the VOD Service of a Digital Cable Broadcasting (디지털케이블방송사의 VOD 서비스 활성화를 위한 모바일 지원 기능 개발 사례)

  • Ko, Kwangil
    • Journal of Digital Contents Society
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    • v.15 no.3
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    • pp.339-346
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    • 2014
  • VOD Service, which has established a solid foothold as a profit model of digital broadcasting companies, is emerging as a key application of the N-screen technologies and services. In the circumstance, broadcasting companies are trying to promoting their VOD services by providing mobile services for improving the VOD service usability. The paper introduces a VOD mobile app (of a domestic digital cable broadcasting), which includes the functions of promoting the VOD programs and events printed on a VOD guide book, directly transmitting the information (e.g., book-marking and remote-control signals) to a set-top box, and watching the video contents stored in the mobile device on TV.

An Analysis for Deriving New Convergent Service of Mobile Learning: The Case of Social Network Analysis and Association Rule (모바일 러닝에서의 신규 융합서비스 도출을 위한 분석: 사회연결망 분석과 연관성 분석 사례)

  • Baek, Heon;Kim, Jin Hwa;Kim, Yong Jin
    • Information Systems Review
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    • v.15 no.3
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    • pp.1-37
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    • 2013
  • This study is conducted to explore the possibility of service convergence to promote mobile learning. This study has attempted to identify how mobile learning service is provided, which services among them are considered most popular, and which services are highly demanded by users. This study has also investigated the potential opportunities for service convergence of mobile service and e-learning. This research is then extended to examine the possibility of active convergence of common services in mobile services and e-learning. Important variables have been identified from related web pages of portal sites using social network analysis (SNA) and association rules. Due to the differences in number and type of variables on different web pages, SNA was used to deal with the difficulties of identifying the degree of complex connection. Association analysis has been used to identify association rules among variables. The study has revealed that most frequent services among common services of mobile services and e-learning were Games and SNS followed by Payment, Advertising, Mail, Event, Animation, Cloud, e-Book, Augmented Reality and Jobs. This study has also found that Search, News, GPS in mobile services were turned out to be very highly demanded while Simulation, Culture, Public Education were highly demanded in e-learning. In addition, It has been found that variables involving with high service convergence based on common variables of mobile and e-learning services were Games and SNS, Games and Sports, SNS and Advertising, Games and Event, SNS and e-Book, Games and Community in mobile services while Games, Animation, Counseling, e-Book, being preceding services Simulation, Speaking, Public Education, Attendance Management were turned out be highly convergent in e-learning services. Finally, this study has attempted to predict possibility of active service convergence focusing on Games, SNS, e-Book which were highly demanded common services in mobile and e-learning services. It is expected that this study can be used to suggest a strategic direction to promote mobile learning by converging mobile services and e-learning.

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Designing an Intelligent Advertising Business Model in Seoul's Metro Network (서울지하철의 지능형 광고 비즈니스모델 설계)

  • Musyoka, Kavoya Job;Lim, Gyoo Gun
    • Journal of Intelligence and Information Systems
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    • v.23 no.4
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    • pp.1-31
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    • 2017
  • Modern businesses are adopting new technologies to serve their markets better as well as to improve efficiency and productivity. The advertising industry has continuously experienced disruptions from the traditional channels (radio, television and print media) to new complex ones including internet, social media and mobile-based advertising. This case study focuses on proposing intelligent advertising business model in Seoul's metro network. Seoul has one of the world's busiest metro network and transports a huge number of travelers on a daily basis. The high number of travelers coupled with a well-planned metro network creates a platform where marketers can initiate engagement and interact with both customers and potential customers. In the current advertising model, advertising is on illuminated and framed posters in the stations and in-car, non-illuminated posters, and digital screens that show scheduled arrivals and departures of metros. Some stations have digital screens that show adverts but they do not have location capability. Most of the current advertising media have one key limitation: space. For posters whether illuminated or not, one space can host only one advert at a time. Empirical literatures show that there is room for improving this advertising model and eliminate the space limitation by replacing the poster adverts with digital advertising platform. This new model will not only be digital, but will also provide intelligent advertising platform that is driven by data. The digital platform will incorporate location sensing, e-commerce, and mobile platform to create new value to all stakeholders. Travel cards used in the metro will be registered and the card scanners will have a capability to capture traveler's data when travelers tap their cards. This data once analyzed will make it possible to identify different customer groups. Advertisers and marketers will then be able to target specific customer groups, customize adverts based on the targeted consumer group, and offer a wide variety of advertising formats. Format includes video, cinemagraphs, moving pictures, and animation. Different advert formats create different emotions in the customer's mind and the goal should be to use format or combination of formats that arouse the expected emotion and lead to an engagement. Combination of different formats will be more effective and this can only work in a digital platform. Adverts will be location based, ensuring that adverts will show more frequently when the metro is near the premises of an advertiser. The advertising platform will automatically detect the next station and screens inside the metro will prioritize adverts in the station where the metro will be stopping. In the mobile platform, customers who opt to receive notifications will receive them when they approach the business premises of advertiser. The mobile platform will have indoor navigation for the underground shopping malls that will allow customers to search for facilities within the mall, products they may want to buy as well as deals going on in the underground mall. To create an end-to-end solution, the mobile solution will have a capability to allow customers purchase products through their phones, get coupons for deals, and review products and shops where they have bought a product. The indoor navigation will host intelligent mobile-based advertisement and a recommendation system. The indoor navigation will have adverts such that when a customer is searching for information, the recommendation system shows adverts that are near the place traveler is searching or in the direction that the traveler is moving. These adverts will be linked to the e-commerce platform such that if a customer clicks on an advert, it leads them to the product description page. The whole system will have multi-language as well as text-to-speech capability such that both locals and tourists have no language barrier. The implications of implementing this model are varied including support for small and medium businesses operating in the underground malls, improved customer experience, new job opportunities, additional revenue to business model operator, and flexibility in advertising. The new value created will benefit all the stakeholders.