• Title/Summary/Keyword: Video Retrieval

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Object Tracking Framework of Video Surveillance System based on Non-overlapping Multi-camera (비겹침 다중 IP 카메라 기반 영상감시시스템의 객체추적 프레임워크)

  • Han, Min-Ho;Park, Su-Wan;Han, Jong-Wook
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.21 no.6
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    • pp.141-152
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    • 2011
  • Growing efforts and interests of security techniques in a diverse surveillance environment, the intelligent surveillance system, which is capable of automatically detecting and tracking target objects in multi-cameras environment, is actively developing in a security community. In this paper, we propose an effective visual surveillance system that is avaliable to track objects continuously in multiple non-overlapped cameras. The proposed object tracking scheme consists of object tracking module and tracking management module, which are based on hand-off scheme and protocol. The object tracking module, runs on IP camera, provides object tracking information generation, object tracking information distribution and similarity comparison function. On the other hand, the tracking management module, runs on video control server, provides realtime object tracking reception, object tracking information retrieval and IP camera control functions. The proposed object tracking scheme allows comprehensive framework that can be used in a diverse range of application, because it doesn't rely on the particular surveillance system or object tracking techniques.

Realtime Media Streaming Technique Based on Adaptive Weight in Hybrid CDN/P2P Architecture

  • Lee, Jun Pyo
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.3
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    • pp.1-7
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    • 2021
  • In this paper, optimized media data retrieval and transmission based on the Hybrid CDN/P2P architecture and selective storage through user's prediction of requestability enable seamless data transfer to users and reduction of unnecessary traffic. We also propose a new media management method to minimize the possibility of transmission delay and packet loss so that media can be utilized in real time. To this end, we construct each media into logical segments, continuously compute weights for each segment, and determine whether to store segment data based on the calculated weights. We also designate scattered computing nodes on the network as local groups by distance and ensure that storage space is efficiently shared and utilized within those groups. Experiments conducted to verify the efficiency of the proposed technique have shown that the proposed method yields a relatively good performance evaluation compared to the existing methods, which can enable both initial latency reduction and seamless transmission.

An Agroclimatic Data Retrieval and Analysis System for Microcomputer Users(CLIDAS) (퍼스컴을 이용한 농업기후자료 검색 및 분석시스템)

  • 윤진일;김영찬
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.38 no.3
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    • pp.253-263
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    • 1993
  • Climatological informations have not been fully utilized by agricultural research and extension workers in Korea due mainly to inaccessbilty to the archived climate data. This study was initiated to improve access to historical climate data gathered from 72 weather stations of Korea Meteorological Administration for agricultural applications by using a microcomputer-based methodology. The climatological elements include daily values of average, maximum and minimum temperature, relative humidity, average and maximum wind speed, wind direction, evaporation, precipitation, sunshine duration and cloud amount. The menu-driven, user-friendly data retrieval system(CLIDAS) provides quick summaries of the data values on a daily, weekly and monthly basis and selective retrieval of weather records meeting certain user specified critical conditions. Growing degree days and potential evapotranspiration data are derived from the daily climatic data, too. Data reports can be output to the computer screen, a printer or ASCII data files. CLIDAS can be run on any IBM compatible machines with Video Graphics Array card. To run the system with the whole database, more than 50 Mb hard disk space should be available. The system can be easily upgraded for further expansion of functions due to the module-structured design.

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PhotoToc: an Implementation of a Ranking System by using User Favor-Based Metrics (포토톡 : 사용자 선호 기반 멀티미디어 콘텐츠 랭킹 시스템의 구현)

  • Lee, Jin-Soo;Park, Al-Eum;Choi, Song-Ah;Ahn, Hoo-Young;Park, Young-Ho
    • Journal of Digital Contents Society
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    • v.8 no.2
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    • pp.113-119
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    • 2007
  • Recently, multimedia applications using internet are increasing by emergency of UCC. The retrieval of photo, video, audio is a main issue to increase utility of access and efficiency of access time. But the exist multimedia applications do not provide the practical ranking system. They provide only simple ranking system using metric. This paper provides "PhotoToc", the user favor-based multimedia ranking system, that can provide differenced view to users. The proposed system has a to retrieve the user centered results.

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A multicast group shceduling algorithm for heterogeneous receivers (수신자의 상이함을 고려한 멀티캐스트 그룹 스케줄링 알고리즘)

  • 우희경;김종권
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.23 no.5
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    • pp.1241-1248
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    • 1998
  • The multicast scheme can improve the efficiency of multimedia retrieval service system, assuming that video transmission speed is faster than the playback rate and the store-and-play scheme. To best exploit the multicast benefits under bandwidth heterogeneous environment, we develop a multicast scheduling algorithm called MTS(Maximum Throughput Scheduling) which tries to maximize the amount of information transferred at each scheduling with subgrouping method. The MTS method compromises the multiple unicast method and the multicast method with lowest transmission rate. we compare the performance of MTS with that of MMS(Most Multicasting Scheduling) and EDS(Earliest Deadine Scheduling) via computer simulation. The performance results show that the MTS requires less number of service handlers to service the same number of subscribers.

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Viewpoint Invariant Person Re-Identification for Global Multi-Object Tracking with Non-Overlapping Cameras

  • Gwak, Jeonghwan;Park, Geunpyo;Jeon, Moongu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.4
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    • pp.2075-2092
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    • 2017
  • Person re-identification is to match pedestrians observed from non-overlapping camera views. It has important applications in video surveillance such as person retrieval, person tracking, and activity analysis. However, it is a very challenging problem due to illumination, pose and viewpoint variations between non-overlapping camera views. In this work, we propose a viewpoint invariant method for matching pedestrian images using orientation of pedestrian. First, the proposed method divides a pedestrian image into patches and assigns angle to a patch using the orientation of the pedestrian under the assumption that a person body has the cylindrical shape. The difference between angles are then used to compute the similarity between patches. We applied the proposed method to real-time global multi-object tracking across multiple disjoint cameras with non-overlapping field of views. Re-identification algorithm makes global trajectories by connecting local trajectories obtained by different local trackers. The effectiveness of the viewpoint invariant method for person re-identification was validated on the VIPeR dataset. In addition, we demonstrated the effectiveness of the proposed approach for the inter-camera multiple object tracking on the MCT dataset with ground truth data for local tracking.

Detecting Prominent Content in Unstructured Audio using Intensity-based Attack/release Patterns (발생/소멸 패턴을 이용한 비정형 혼합 오디오의 주성분 검출)

  • Kim, Samuel
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.12
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    • pp.224-231
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    • 2013
  • Defining the concept of prominent audio content as the most informative audio content from the users' perspective within a given unstructured audio segment, we propose a simple but robust intensity-based attack/release pattern features to detect the prominent audio content. We also propose a web-based annotation procedure to retrieve users' subjective perception and annotated 18 hours of video clips across various genres, such as cartoon, movie, news, etc. The experiments with a linear classification method whose models are trained for speech, music, and sound effect demonstrate promising - but varying across the genres of programs - results (e.g., 86.7% weighted accuracy for speech-oriented talk shows and 49.3% weighted accuracy for {action movies}).

XML Repository System Using DBMS and IRS

  • Kang, Hyung-Il;Yoo, Jae-Soo;Lee, Byoung-Yup
    • International Journal of Contents
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    • v.3 no.3
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    • pp.6-14
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    • 2007
  • In this paper, we design and implement a XML Repository System(XRS) that exploits the advantages of DBMSs and IRSs. Our scheme uses BRS to support full text indexing and content-based queries efficiently, and ORACLE to store XML documents, multimedia data, DTD and structure information. We design databases to manage XML documents including audio, video, images as well as text. We employ the non-composition model when storing XML documents into ORACLE. We represent structured information as ETID(Element Type Id), SORD(Sibling ORDer) and SSORD(Same Sibling ORDer). ETID is a unique value assigned to each element of DTD. SORD and SSORD represent an order information between sibling nodes and an order information among the sibling nodes with the same element respectively. In order to show superiority of our XRS, we perform various experiments in terms of the document loading time, document extracting time and contents retrieval time. It is shown through experiments that our XRS outperforms the existing XML document management systems. We also show that it supports various types of queries through performance experiments.

A Scene-based Tree Browsing Technique for Video Retrieval and Visual Summary (비디오 검색과 시각적 요약을 위한 장면 기반 계층적 브라우징 기법)

  • Im, Dong-Hyeok;Lee, Seok-Ryong;Jeong, Jin-Wan
    • Journal of KIISE:Databases
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    • v.28 no.2
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    • pp.181-187
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    • 2001
  • 디지털 비디오의 사용이 일반화되어감에 따라 비디오 브라우징에 대한 연구가 더욱 요구되 어 지고 있다. 과거에 연구된 바 있는 VCR식 순차탐색기법은 아날로그 비디오 브라우징에 서 사용되던 고전적 방식을 다지털 비디오에 적용한 것이며, 키프레임 정적표현법은 비디오 를 구성하는 프레임을 보이는 방식이다. 이 두 방식이 디지털 비디오의 특성을 충분히 사용 하지 못하기 때문에, 최근에는 비디오 샷산의 계층적 관계를 기반으로 하는 계층적 브라우 징과 장면 간의 관계를 기반으로 하는 장면 기반 브라우징이 주목을 받고 있다. 본 논문에 서는 기존의 비디오 브라우징에 대한 연구들을 자세히 알아보고, 계층적 브라우징과 장면 기반 브라우징에서처럼 비디오 내의 각 장면에 바로 접근할 수 있을 뿐만 아니라, 계층적 브라우징처럼 비디오의 전체구조를 알기 쉽게 보여준다. 또한 브라우징의 결과는 시각적 요 약으로 사용될 수 있다.

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Efficient Similarity Search in Multi-attribute Time Series Databases (다중속성 시계열 데이타베이스의 효율적인 유사 검색)

  • Lee, Sang-Jun
    • The KIPS Transactions:PartD
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    • v.14D no.7
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    • pp.727-732
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    • 2007
  • Most of previous work on indexing and searching time series focused on the similarity matching and retrieval of one-attribute time series. However, multimedia databases such as music, video need to handle the similarity search in multi-attribute time series. The limitation of the current similarity models for multi-attribute sequences is that there is no consideration for attributes' sequences. The multi-attribute sequences are composed of several attributes' sequences. Since the users may want to find the similar patterns considering attributes's sequences, it is more appropriate to consider the similarity between two multi-attribute sequences in the viewpoint of attributes' sequences. In this paper, we propose the similarity search method based on attributes's sequences in multi-attribute time series databases. The proposed method can efficiently reduce the search space and guarantees no false dismissals. In addition, we give preliminary experimental results to show the effectiveness of the proposed method.