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Dissertations / Theses on the topic 'Content-Based Video Retrieval'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Faichney, Jolon. "Content-Based Retrieval of Digital Video." Thesis, Griffith University, 2005. http://hdl.handle.net/10072/365697.

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In the next few years consumers will have access to large amounts of video and image data either created by themselves with digital video and still cameras or by having access to other image and video content electronically. Existing personal computer hardware and software has not been designed to manage large quantities of multimedia content. As a result, research in the area of content-based video retrieval (CBVR) has been underway for the last fifteen years. This research aims to improve CBVR by providing an accurate and reliable shape-colour representation and by providing a new 3D user in

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Zhang, Lelin. "Scalable Content-Based Image and Video Retrieval." Thesis, The University of Sydney, 2016. http://hdl.handle.net/2123/15439.

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The popularity of the Internet and portable image capturing devices brings in unprecedented amount of images and videos. Content-based visual search provides an important tool for users to consume the ever-growing digital media repositories, and is becoming an increasingly demanding task as never before. In this thesis, we focus on improving the scalability, efficiency and usability of content-based image and video retrieval systems, particularly in dynamic and open environments. Towards our goal, we make four contributions to the research community. First, we propose a scalable approach to ad

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Chen, Juan. "Content-based Digital Video Processing. Digital Videos Segmentation, Retrieval and Interpretation." Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/4256.

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Recent research approaches in semantics based video content analysis require shot boundary detection as the first step to divide video sequences into sections. Furthermore, with the advances in networking and computing capability, efficient retrieval of multimedia data has become an important issue. Content-based retrieval technologies have been widely implemented to protect intellectual property rights (IPR). In addition, automatic recognition of highlights from videos is a fundamental and challenging problem for content-based indexing and retrieval applications. In this thesis, a paradigm is

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Volkmer, Timo, and timovolkmer@gmx net. "Semantics of Video Shots for Content-based Retrieval." RMIT University. Computer Science and Information Technology, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20090220.122213.

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Content-based video retrieval research combines expertise from many different areas, such as signal processing, machine learning, pattern recognition, and computer vision. As video extends into both the spatial and the temporal domain, we require techniques for the temporal decomposition of footage so that specific content can be accessed. This content may then be semantically classified - ideally in an automated process - to enable filtering, browsing, and searching. An important aspect that must be considered is that pictorial representation of information may be interpreted differently by

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Mohanna, Farahnaz. "Content based video database retrieval using shape features." Thesis, University of Surrey, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.250764.

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Anjulan, Arasanathan. "Intelligent content based video retrieval based on local region tracks." Thesis, University of Bristol, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.445827.

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7

Wang, Lei. "Content based video retrieval via spatial-temporal information discovery." Thesis, Robert Gordon University, 2013. http://hdl.handle.net/10059/1119.

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Content based video retrieval (CBVR) has been strongly motivated by a variety of realworld applications. Most state-of-the-art CBVR systems are built based on Bag-of-visual- Words (BovW) framework for visual resources representation and access. The framework, however, ignores spatial and temporal information contained in videos, which plays a fundamental role in unveiling semantic meanings. The information includes not only the spatial layout of visual content on a still frame (image), but also temporal changes across the sequential frames. Specially, spatially and temporally co-occurring visu

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8

Rautiainen, M. (Mika). "Content-based search and browsing in semantic multimedia retrieval." Doctoral thesis, University of Oulu, 2006. http://urn.fi/urn:isbn:9514283007.

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Abstract Growth in storage capacity has led to large digital video repositories and complicated the discovery of specific information without the laborious manual annotation of data. The research focuses on creating a retrieval system that is ultimately independent of manual work. To retrieve relevant content, the semantic gap between the searcher's information need and the content data has to be overcome using content-based technology. Semantic gap constitutes of two distinct elements: the ambiguity of the true information need and the equivocalness of digital video data. The research probl

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Vemulapalli, Smita. "Audio-video based handwritten mathematical content recognition." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45958.

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Recognizing handwritten mathematical content is a challenging problem, and more so when such content appears in classroom videos. However, given the fact that in such videos the handwritten text and the accompanying audio refer to the same content, a combination of video and audio based recognizer has the potential to significantly improve the content recognition accuracy. This dissertation, using a combination of video and audio based recognizers, focuses on improving the recognition accuracy associated with handwritten mathematical content in such videos. Our approach makes use of a video

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Celik, Cigdem. "An Mpeg-7 Video Database System For Content-based Management And Retrieval." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606679/index.pdf.

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A video data model that allows efficient and effective representation and querying of spatio-temporal properties of objects has been previously developed. The data model is focused on the semantic content of video streams. Objects, events, activities performed by objects are the main interests of the model. The model supports fuzzy spatial queries including querying spatial relationships between objects and querying the trajectories of objects. In this thesis, this work is used as a basis for the development of an XML-based video database system. This system is aimed to be compliant with the M

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Pan, Wei. "Interpreting camera operations in the context of content-based video indexing and retrieval." Mémoire, [S.l. : s.n.], 2006. http://savoirs.usherbrooke.ca/handle/11143/4697.

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Ren, Jinchang. "Semantic content analysis for effective video segmentation, summarisation and retrieval." Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/4251.

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This thesis focuses on four main research themes namely shot boundary detection, fast frame alignment, activity-driven video summarisation, and highlights based video annotation and retrieval. A number of novel algorithms have been proposed to address these issues, which can be highlighted as follows. Firstly, accurate and robust shot boundary detection is achieved through modelling of cuts into sub-categories and appearance based modelling of several gradual transitions, along with some novel features extracted from compressed video. Secondly, fast and robust frame alignment is achieved via t

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Demirdizen, Goncagul. "An Ontology-driven Video Annotation And Retrieval System." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612592/index.pdf.

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In this thesis, a system, called Ontology-Driven Video Annotation and Retrieval System (OntoVARS) is developed in order to provide a video management system which is used for ontology-driven semantic content annotation and querying. The proposed system is based on MPEG-7 ontology which provides interoperability and common communication platform with other MPEG-7 ontology compatible systems. The Rhizomik MPEG-7 ontology is used as the core ontology and domain specific ontologies are integrated to the core ontology in order to provide ontology-based video content annotation and querying capabili

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Yapp, Lawrence. "Content-based indexing of MPEG video through the analysis of the accompanying audio /." Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/5835.

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Tjondronegoro, Dian W. "PhD Thesis: "Content-based Video Indexing for Sports Applications using Multi-modal approach"." Thesis, Deakin University, 2005. https://eprints.qut.edu.au/2199/1/PhDThesis_Tjondronegoro.pdf.

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Triggered by technology innovations, there has been a huge increase in the utilization of video, as one of the most preferred types of media due to its content richness, for many significant applications. To sustain an ongoing rapid growth of video information, there is an emerging demand for a sophisticated content-based video indexing system. However, current video indexing solutions are still immature and lack of any standard. One solution, namely annotation-based indexing, allows video retrieval using textual annotations. However, the major limitations are the restrictions of pre-defined

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Ncube, Prince Daughing Ngqabutho. "Development of a MPEG-7 based multimedia content description and retrieval tool for internet protocol television (IPTV)." Thesis, University of Fort Hare, 2017. http://hdl.handle.net/10353/4893.

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Search and retrieval of multimedia content from open platforms such as the Internet and IPTV platforms has long been found to be hugely inefficient. It has been noted that a major cause of such inefficient results is the improper labeling or incomplete description of multimedia content by its creators. The lack of adequate description of video content by the proper annotation of video content with the relevant metadata leads to poor search and retrieval yields. The creation of such metadata itself is a major problem as there are various metadata description standards which users could employ.

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Cámara, Chávez Guillermo. "Analyse du contenu vidéo par apprentissage actif." Cergy-Pontoise, 2007. http://www.theses.fr/2007CERG0380.

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L’objet de cette thèse est de proposer un système d’indexation semi-automatique et de recherche interactive pour la vidéo. Nous avons développé un algorithme de détection des plans automatique sans paramètre, ni seuil. Nous avons choisi un classifieur SVM pour sa capacité à traiter des caractéristiques de grandes dimensions tout en préservant des garanties de généralisation pour peu d’exemples d’apprentissage. Nous avons étudié plusieurs combinaisons de caractéristiques et de fonctions noyaux et présenté des résultats intéressants pour la tâche de détection de plan de TRECVID 2006. Nous avons

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Acar, Esra. "Efficient index structures for video databases." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609322/index.pdf.

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Content-based retrieval of multimedia data has been still an active research area. The efficient retrieval of video data is proven a difficult task for content-based video retrieval systems. In this thesis study, a Content-Based Video Retrieval (CBVR) system that adapts two different index structures, namely Slim-Tree and BitMatrix, for efficiently retrieving videos based on low-level features such as color, texture, shape and motion is presented. The system represents low-level features of video data with MPEG-7 Descriptors extracted from video shots by using MPEG-7 reference software and sto

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Tarczyńska, Anna. "Methods of Text Information Extraction in Digital Videos." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2656.

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Context The huge amount of existing digital video files needs to provide indexing to make it available for customers (easier searching). The indexing can be provided by text information extraction. In this thesis we have analysed and compared methods of text information extraction in digital videos. Furthermore, we have evaluated them in the new context proposed by us, namely usefulness in sports news indexing and information retrieval. Objectives The objectives of this thesis are as follows: providing a better understanding of the nature of text extraction; performing a systematic literature

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Niaz, Usman. "Amélioration de la détection des concepts dans les vidéos en coupant de plus grandes tranches du monde visuel." Thesis, Paris, ENST, 2014. http://www.theses.fr/2014ENST0040/document.

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Les documents visuels comprenant des images et des vidéos sont en croissance rapide sur Internet et dans nos collections personnelles. Cela nécessite une analyse automatique du contenu visuel qui fait appel à la conception de méthodes intelligentes pour correctement indexer, rechercher et récupérer des images et des vidéos. Cette thèse vise à améliorer la détection automatique des concepts dans les vidéos sur Internet. Nos contributions portent sur des différents niveaux dans le cadre de détection de concept et peuvent être divisés en trois parties principales. La première partie se focalise s

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Gonçalves, Vagner Mendonça. "Recuperação de vídeos médicos baseada em conteúdo utilizando extratores de características visuais e sonoras." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/100/100131/tde-20122016-111013/.

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A evolução dos dispositivos de armazenamento e das redes de computadores permitiram que os vídeos digitais assumissem um importante papel no desenvolvimento de sistemas de informação multimídia. Com a finalidade de aproveitar todo o potencial dos vídeos digitais no desenvolvimento desses sistemas, técnicas automatizadas eficientes para análise, interpretação e recuperação são necessárias. A recuperação de vídeos baseada em conteúdo (CBVR, do inglês content-based video retrieval) permite o processamento e a análise do conteúdo de vídeos digitais visando à extração de informações relevantes que

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Niaz, Usman. "Amélioration de la détection des concepts dans les vidéos en coupant de plus grandes tranches du monde visuel." Electronic Thesis or Diss., Paris, ENST, 2014. http://www.theses.fr/2014ENST0040.

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Les documents visuels comprenant des images et des vidéos sont en croissance rapide sur Internet et dans nos collections personnelles. Cela nécessite une analyse automatique du contenu visuel qui fait appel à la conception de méthodes intelligentes pour correctement indexer, rechercher et récupérer des images et des vidéos. Cette thèse vise à améliorer la détection automatique des concepts dans les vidéos sur Internet. Nos contributions portent sur des différents niveaux dans le cadre de détection de concept et peuvent être divisés en trois parties principales. La première partie se focalise s

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Su, Chih-Wen, and 蘇志文. "Content-based Video Retrieval Techniques for MPEG Video." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/9davy5.

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博士<br>國立中央大學<br>資訊工程研究所<br>94<br>Gradual shot change detection is one of the most important research issues in the field of video indexing/retrieval. Among the numerous types of gradual transitions, the dissolve-type gradual transition is considered the most common one, but it is also the most difficult one to detect. In most of the existing dissolve detection algorithms, the false/miss detection problem caused by motion is very serious. In this thesis, we present a novel dissolve-type transition detection algorithm that can correctly distinguish dissolves from disturbance caused by motion. We

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Lin, Chih-long, and 林志隆. "Content-based Video Retrieval with Multi Features." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/ed84t6.

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碩士<br>國立臺灣科技大學<br>電機工程系<br>102<br>With the advance of multimedia codec technology and communications, multimedia communications become one of the major information media with the aides of internet prevalence. Under this circumstance, image and video data over the Internet contribute to the sea of media and how to search user desired media contents from the sea of media becomes important. Content-Based Video Retrieval (CBVR) methods have been proposed to search user interested video clips, precisely and quickly. Among these researches, extracting image features for similarity measurement is wi

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Chang, Hao-Wei, and 張皓崴. "A Study on Content-Based Video Retrieval." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/01089217808521692359.

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碩士<br>國立交通大學<br>資訊科學系<br>90<br>In this paper, a content-based video retrieval method without using key-frame will be proposed. Unlike the key-frame based approach, the proposed method uses the whole information of a shot instead of selecting several key-frames to represent a shot. This method is based on the concept of the primitives of color moments and the dominant colors to extract features. To extract the primitives of color moments, first each frame in a shot is divided into several blocks. Then, the color moments of all blocks are extracted and clustered into several classes. The mean mo

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Lee, Gin Song, and 李金松. "Semantic Video Model for Content-based Retrieval." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/76910006565384416570.

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Liu, Chih-Chin, and 劉志俊. "Content-Based Video and Music Data Retrieval." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/29623888052889787839.

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博士<br>國立清華大學<br>資訊工程學系<br>86<br>AbstractIn this dissertation, we discuss important issues in content-based video and music data retrieval. First, we describe features used to model the content of image, video and music data. Based on the object model, we propose a multimedia framework and an object-level spatial/temporal model to represent the spatial/temporal relationships between media objects. Three new types of aggregation relationships composed of the composition, temporal, and spatial

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Chen, Duan-Yu, and 陳敦裕. "Towards High-Level Content-Based Video Retrieval and Video Structuring." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/22704705540427885349.

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博士<br>國立交通大學<br>資訊工程系所<br>93<br>With the increasing digital videos in education, entertainment and other multimedia applications, there is an urgent demand for tools that allow an efficient way for users to acquire desired video data. Content-based searching, browsing and retrieval is more natural, friendly and semantically meaningful to users. With the technique of video compression getting mature, lots of videos are being stored in compressed form and accordingly more and more researches focus on the feature extractions in compressed videos especially in MPEG format. This thesis aims to inve

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邱敬昌. "Compressed-domain video object extraction for content-based video retrieval." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/89261594499871864116.

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Hsiao, Wei-Chuan, and 蕭偉權. "Content-Based Video Retrieval Based on Object Motion Trajectory." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/59292709177713573610.

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碩士<br>國立中正大學<br>電機工程研究所<br>89<br>The growing development of multimedia information technology has riches humans’ life. Recently, people have tried hard to develop the technology of multimedia information and it has much contribution in the processing of primary data to compressed data. However, it still has many problems about operating technology systems, such as the ways of how to search, retrieval, analyze and manage data in the multimedia information quickly. In this paper, we focus on the description and analysis of dynamic object motion on MPEG-2 compressed video data and will

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Lo, Wei-Hao, and 羅偉豪. "A Text Description Content-Based Video Retrieval System." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/39435618980198807279.

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碩士<br>國立成功大學<br>電機工程學系<br>87<br>The amount of multimedia data and type increases rapidly, due to recently the progress of hardware techniques and the popularity of multimedia application. For digitized binary data, the conventional multimedia database systems designed for managing textual and numerical data are no longer adequate for the multimedia various data type. The multimedia data itself is the raw data which is created independently from what its effective content represent. Therefore, to help user to search the desired data from the huge amount of multimedia data has become an importan

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Chen, Chih-Hao, and 陳志豪. "Content-based Video Object Retrieval System Based on Color Feature." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/24599240438958333939.

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Cheng, Pu-Jien, and 鄭卜壬. "A Study on Content-Based Retrieval for Video Databases." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/92718965331102030375.

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博士<br>國立交通大學<br>資訊科學系<br>89<br>A video database system has the property that it must not only manage a collection of video data, but also provide content-based access to users. One of the most important topics in video database systems is to support content-based retrieval, on which numerous researches have been done in recent years. However, some critical issues are left for further researches. First, the systems proposed in previous work are basically suitable only for some applications. A system, which is adaptive to various system environments, is required. Second, high-level semantic conc

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Gillespie, WJ. "Content based video indexing and retrieval using motion features." Thesis, 2002. https://eprints.utas.edu.au/18578/1/Gillespie_Content_based_video_indexing_and_retrieval_using_motion_features.pdf.

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Presented in this thesis is MPEG VIRS: A content based video indexing and retrieval system. It is a prototype system that allows the automatic population and indexing of a database of MPEG-1 video files, based on colour, texture, and motion features. The system also allows searching of the database via a graphical sketch. The main focus of this thesis is the implementation of the motion indexing process, and additionally the integration of this component into the system as a whole. MPEG VIRS is designed to display the potential of a content based indexing and retrieval system in the grow

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張厥煒. "= Structured video computing and content-based retrieval in a video information system." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/65099314673783857451.

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Wang, Shuenn-Jyi, and 王順吉. "Video Segmentation and Indexing Algorithms for a Content-based Video Retrieval System." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/21747936965544536281.

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博士<br>國立交通大學<br>資訊管理所<br>91<br>A video retrieval system consists of two major subsystems for indexing and query, respectively. In the indexing process, video segmentation is the first and the most important step of building a video retrieval system. In this dissertation, we propose two video segmentation methods: the histogram-based fuzzy c-means (HBFCM) clustering algorithm, and the histogram-based moment-preserving (HBMP) clustering algorithm. Each algorithm is the hybrid of the shot change detection approach and the clustering approach, and is designed to overcome the drawbacks of both a

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Shi, Yaping. "Design and implementation of a content-based video retrieval system." Thesis, 1997. http://hdl.handle.net/2429/6591.

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As computer application enters a multimedia era, video data is becoming an information source. In this thesis, we investigate various video indexing and retrieval techniques and describe an implementation of a prototype video retrieval system that supports queries based on either visual or semantic content of video data. In our system the basic unit for video indexing and retrieval is the shot. Several shot boundary detection techniques have been implemented and evaluated. Each shot is represented by one or more key frames. The image feature vector of each key frame usually has very hig

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Huang, Yu-Ting, and 黃煜庭. "Efficient Content-Based Video Retrieval by Using Pattern Indexing Techniques." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/03131450216545684117.

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碩士<br>國立成功大學<br>資訊工程學系碩博士班<br>95<br>With the progress of multimedia capturing technique, the multimedia data is more and more tightly bound up with our life, especially for video data. How to access the user-interested videos efficiently and effectively is a hot topic for content-based video retrieval. Because a video is with richer spatial and temporal information than an image, lots of recent works attempt to make an excellent video exploration by using not only visual features but also the implicit semantics hidden in a sequence of video events. These works always put the concentration on h

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Lee, Hsiao-Ling, and 李曉玲. "Two Efficient Approaches for Content-based Retrieval of Compressed Video Data: Filtering and Prediction." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/03334192866490105755.

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碩士<br>國立交通大學<br>資訊科學系<br>88<br>In this paper we propose two efficient approaches namely filtering and prediction for content-based retrieval of compressed video data. For filtering, we retrieval the DCT coefficients of video data in compressed domain to proceed similarity comparison. Concurrently, a multi-resolution comparison method is adopted to proceed filtering. As for prediction, we use macroblocks and motion vector, which are temporal features of compressed video data, to predict similarity of video data such as to reduce the amount of time for computing and speed up content-based retrie

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Chen, Kuan-Yu, and 陳冠禹. "An Enhanced ASIFT Image Retrieval Approach for Product Recommendation Based on Web Video Content." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/6qm68n.

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碩士<br>國立臺灣科技大學<br>電機工程系<br>99<br>With the increasing network resource and services, e-commerce and online advertising are more and more popular and the number of video sharing websites also shows in explosive growth. Consequently, the frequency of online shopping and the time of watching online videos increase significantly too. Many advertisers do their advertisements through video sharing websites, hoping to get the maximum revenue due to large amount of website users. On the other hand, traditional advertising mechanism is unable to meet the rapid growth of e-commerce and online advertising

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Erol, Berna. "Content-based retrieval of arbitrarily shaped video objects in the uncompressed and compressed domains." Thesis, 2002. http://hdl.handle.net/2429/12773.

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Advancements in video object segmentation technology and the availability of efficient object-based video representations, such as MPEG-4 [1], have resulted in the increased availability of arbitrarily shaped digital video content. While this enables many exciting applications, the process of locating and accessing a desired video sequence can still be challenging because of the large volume of data associated with even compressed video. This dissertation proposes generic methods for the retrieval of arbitrarily shaped video objects in the MPEG-4 compressed domain, using their shape, loc

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Liao, Wei-Shing, and 廖瑋星. "Semantic Query Expansion for Content-based Image Retrieval and Its Application on Video Advertising." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/99958344443046494763.

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碩士<br>臺灣大學<br>資訊工程學研究所<br>98<br>Content-based image retrieval (CBIR) is one of the essential techniques for managing exponentially growing photos and the enabling technology for many applications such as annotation by search, computational photography, photo-based question and answering, etc. Though through decades of research, current solutions are limited due to the “semantic gap.” In this work, we argue to improve CBIR by automatically exploiting the auxiliary knowledge (i.e., tags, photos, blogs, metadata, etc.) from the booming media-sharing services (e.g., Flickr) and search engines (e.g

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Liang, Han-Chang, and 梁漢章. "A Multi-Camera Video Surveillance System Use the Spatial Relationship and Content-based Retrieval." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/y7z53h.

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碩士<br>國立臺北科技大學<br>資訊工程系所<br>96<br>By using a Multi-Camera architecture has become the primary trend of the third generation surveillance system. However, the third generation surveillance system still uses the traditional manner to observe the video events by human. And, the Multi-Camera cooperative relationship is not to be cared. So, how to improve the Multi-Camera construction is an important subject. The thesis is to propose a process to construct the Camera side and the Central Control side under the usual environment. We describe how the Camera side notifies the Central Control side when

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Karpenko, Alexandre. "50,000 Tiny Videos: A Large Dataset for Non-parametric Content-based Retrieval and Recognition." Thesis, 2009. http://hdl.handle.net/1807/17690.

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This work extends the tiny image data-mining techniques developed by Torralba et al. to videos. A large dataset of over 50,000 videos was collected from YouTube. This is the largest user-labeled research database of videos available to date. We demonstrate that a large dataset of tiny videos achieves high classification precision in a variety of content-based retrieval and recognition tasks using very simple similarity metrics. Content-based copy detection (CBCD) is evaluated on a standardized dataset, and the results are applied to related video retrieval within tiny videos. We use our simila

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Cai, Hongyuan. "Video anatomy : spatial-temporal video profile." Thesis, 2014. http://hdl.handle.net/1805/4832.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>A massive amount of videos are uploaded on video websites, smooth video browsing, editing, retrieval, and summarization are demanded. Most of the videos employ several types of camera operations for expanding field of view, emphasizing events, and expressing cinematic effect. To digest heterogeneous videos in video websites and databases, video clips are profiled to 2D image scroll containing both spatial and temporal information for video preview. The video profile is visually continuous, compact, scalable, and indexing to each fram

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Gllavata, Julinda [Verfasser]. "Extracting textual information from images and videos for automatic content-based annotation and retrieval / vorgelegt von Julinda Gllavata." 2007. http://d-nb.info/984094075/34.

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