• Title, Summary, Keyword: Even-based Video Retrieval

Search Result 7, Processing Time 0.045 seconds

Video retrieval system based on closed caption (폐쇄자막을 기반한 자막기반 동영상 검색 시스템)

  • 김효진;황인정;이은주;이응혁;민홍기
    • Proceedings of the Korea Institute of Convergence Signal Processing
    • /
    • /
    • pp.57-60
    • /
    • 2000
  • Even if the video data is utilized for a lot of field, its very difficult to reuse and search easily because of its atypical(unfixed form) and complicated structure. In this study, we presented the video retrieval system which is based on the synchronized closed caption and video, SMIL and SAMI languages which are described to structured and systematic form like multimedia data These have next structure; At first, a key word is inputted by user, then time stamp would be sampling from the string which has a key word in the caption file. To the result, the screen shows an appropriate video frame.

  • PDF

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
    • /
    • v.10 no.11
    • /
    • pp.20-29
    • /
    • 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.

Service Provider Ranking Based on Visual Media Ontology (시각 미디어 온톨로지에 기반한 서비스 제공자 랭킹)

  • Min, Young-Kun;Lee, Bog-Ju
    • The KIPS Transactions:PartB
    • /
    • v.15B no.4
    • /
    • pp.315-322
    • /
    • 2008
  • It is important to retrieve effectively the visual media such as pictures and video in the internet, especially to the application areas such as electronic art museum, e-commerce, and internet shopping malls. It is also needed in these areas to have content-based or even semantic-based multimedia retrieval instead of simple keyword-based retrieval. In our earlier research, we proposed a semantic-based visual media retrieval framework for the effective retrieval of the visual media from the internet. It uses visual media metadata and ontology based on the web service to achieve the semantic-based retrieval. In this research, there are more than one visual media service providers and one central service broker. As a preliminary step to the visual media data retrieval, a method is proposed to retrieve the service providers effectively. The method uses the structure of the ontology tree to obtain the providers and their rankings. It also uses the size of sub nodes and child nodes in the tree. It measures the rankings of providers more effectively than previous method. The experimental results show the accuracy of the method while keeping compatible speed against the existing method.

Similar sub-Trajectory Retrieval Technique based on Grid for Video Data (비디오 데이타를 위한 그리드 기반의 유사 부분 궤적 검색 기법)

  • Lee, Ki-Young;Lim, Myung-Jae;Kim, Kyu-Ho;Kim, Joung-Joon
    • The Journal of The Institute of Internet, Broadcasting and Communication
    • /
    • v.9 no.5
    • /
    • pp.183-189
    • /
    • 2009
  • Recently, PCS, PDA and mobile devices, such as the proliferation of spread, GPS (Global Positioning System) the use of, the rapid development of wireless network and a regular user even images, audio, video, multimedia data, such as increased use is for. In particular, video data among multimedia data, unlike the moving object, text or image data that contains information about the movements and changes in the space of time, depending on the kinds of changes that have sigongganjeok attributes. Spatial location of objects on the flow of time, changing according to the moving object (Moving Object) of the continuous movement trajectory of the meeting is called, from the user from the database that contains a given query trajectory and data trajectory similar to the finding of similar trajectory Search (Similar Sub-trajectory Retrieval) is called. To search for the trajectory, and these variations, and given the similar trajectory of the user query (Tolerance) in the search for a similar trajectory to approximate data matching (Approximate Matching) should be available. In addition, a large multimedia data from the database that you only want to be able to find a faster time-effective ways to search different from the existing research is required. To this end, in this paper effectively divided into a grid to search for the trajectory to the trajectory of moving objects, similar to the effective support of the search trajectory offers a new grid-based search techniques.

  • PDF

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
    • /
    • v.12 no.11
    • /
    • pp.1572-1580
    • /
    • 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.

  • PDF

Object Tracking in HEVC Bitstreams (HEVC 스트림 상에서의 객체 추적 방법)

  • Park, Dongmin;Lee, Dongkyu;Oh, Seoung-Jun
    • Journal of Broadcast Engineering
    • /
    • v.20 no.3
    • /
    • pp.449-463
    • /
    • 2015
  • Video object tracking is important for variety of applications, such as security, video indexing and retrieval, video surveillance, communication, and compression. This paper proposes an object tracking method in HEVC bitstreams. Without pixel reconstruction, motion vector (MV) and size of prediction unit in the bitstream are employed in an Spatio-Temporal Markov Random Fields (ST-MRF) model which represents the spatial and temporal aspects of the object's motion. Coefficient-based object shape adjustment is proposed to solve the over-segmentation and the error propagation problems caused in other methods. In the experimental results, the proposed method provides on average precision of 86.4%, recall of 79.8% and F-measure of 81.1%. The proposed method achieves an F-measure improvement of up to 9% for over-segmented results in the other method even though it provides only average F-measure improvement of 0.2% with respect to the other method. The total processing time is 5.4ms per frame, allowing the algorithm to be applied in real-time applications.

Methods for Video Caption Extraction and Extracted Caption Image Enhancement (영화 비디오 자막 추출 및 추출된 자막 이미지 향상 방법)

  • Kim, So-Myung;Kwak, Sang-Shin;Choi, Yeong-Woo;Chung, Kyu-Sik
    • Journal of KIISE:Software and Applications
    • /
    • v.29 no.4
    • /
    • pp.235-247
    • /
    • 2002
  • For an efficient indexing and retrieval of digital video data, research on video caption extraction and recognition is required. This paper proposes methods for extracting artificial captions from video data and enhancing their image quality for an accurate Hangul and English character recognition. In the proposed methods, we first find locations of beginning and ending frames of the same caption contents and combine those multiple frames in each group by logical operation to remove background noises. During this process an evaluation is performed for detecting the integrated results with different caption images. After the multiple video frames are integrated, four different image enhancement techniques are applied to the image: resolution enhancement, contrast enhancement, stroke-based binarization, and morphological smoothing operations. By applying these operations to the video frames we can even improve the image quality of phonemes with complex strokes. Finding the beginning and ending locations of the frames with the same caption contents can be effectively used for the digital video indexing and browsing. We have tested the proposed methods with the video caption images containing both Hangul and English characters from cinema, and obtained the improved results of the character recognition.