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RECENT ADVANCES IN CONTENT-BASED VIDEO ANALYSIS

CHONG-WAH NGO, TING-CHUEN PONG, HONG-JIANG ZHANG
2001 International Journal of Image and Graphics  
We then describe visual features, in particular motion, and similarity measures adopted for retrieval.  ...  We present three levels of abstracting video content by scene, keyframe and key object representations. These representation schemes in overall serve as a good start for video retrieval.  ...  Besides the incapabilities in handling complicated transitions such as fancy wipe patterns, most approaches fail when motion is coupled with gradual transition.  ... 
doi:10.1142/s0219467801000268 fatcat:aob23yerxvetnlvrye3nw6nfki

Content-based representation and retrieval of visual media: A state-of-the-art review

Philippe Aigrain, Hongjiang Zhang, Dragutin Petkovic
1996 Multimedia tools and applications  
This paper reviews a number of recently available techniques in content analysis of visual media and their application to the Indexing, retrieval, abstracting, relevance assessment, interactive perception  ...  It is thus possible for human indexers to concentrate on the truly semantic information which will not be readable on the automatically produced storyboards, and hard to retrieve for content-based retrieval  ...  Shot similarity and content-based retrieval of clips Defining video shot or sequence similarity is a key issue in building content-based indices, retrieving sequences of similar visual content and clustering  ... 
doi:10.1007/bf00393937 fatcat:xrxszt23qrb6pci5iqo7ybmshe

Intelligent access to digital video: Informedia project

H.D. Wactlar, T. Kanade, M.A. Smith, S.M. Stevens
1996 Computer  
Our approach applies several techniques for content-based searching and video-sequence retrieval. Content is conveyed in both the narrative (speech and language) and the image.  ...  Computer he Informedia Digital Video Library project' will establish a large, on-line digital video library featuring full-content and knowledge-based search and retrieval.  ...  Acknowledgments This material is based on work supported by the National Science Foundation, ARPA, and NASA under NSF Cooperative Agreement No. IRI-9411299. Michael A.  ... 
doi:10.1109/2.493456 fatcat:wtwntkrnqbcirmkj6ornjrx6su

An innovative system for formulating complex, combined content-based and keyword-based queries

Herwig E. Rehatschek, Peter Schallauer, Werner Bailer, Werner Haas, Alfred Wertner, Simone Santini, Raimondo Schettini
2003 Internet Imaging V  
We propose a search & retrieval (S&R) tool, which supports the combination of a text search with content-based search for video and image content.  ...  This S&R system allows the formulation of complex queries allowing the arbitrary combination of content-based and text-based query elements with logical operators.  ...  We propose a search & retrieval (S&R) tool, which supports the combination of a text-based search with content-based search for video and image content.  ... 
doi:10.1117/12.524787 fatcat:vrukcxb5xbd5xlfxwvltjo7zky

Automatic Image Retrieval through Video Authoring and Transition

Akila. R, Jayashree. B, Mr.P. Karthick
2014 IOSR Journal of Computer Engineering  
Content-consistent shots are retrieved from a video pool in order to form a descriptive long-shot video automatically by video authoring and transition to present events, persons or scenic spots captured  ...  Videos are categorized by using transition clues like human, object.  ...  Especially when content-based video retrieval fails and the user need to browse through a large set of video sequences [1] .  ... 
doi:10.9790/0661-1628119125 fatcat:rwp7g6yum5f77d2byodzygqvmq

Extracting Objects and Events from MPEG Videos for Highlight-based Indexing and Retrieval

Jinchang Ren, Jianmin Jiang, Juan Chen, Stan S. Ipson
2010 Journal of Multimedia  
Automatic recognition of highlights from videos is a fundamental and challenging problem for content-based indexing and retrieval applications.  ...  Video highlight high-level semantics are then automatically extracted via low-level analysis in the detection of human objects and camera motion events, and finally these highlights are taken for shot-level  ...  Having extracted human objects and detected camera events, the original videos are then indexed in each shot for content-based retrieval as follows: 1) Indexing of extracted human objects; 2) Indexing  ... 
doi:10.4304/jmm.5.2.95-103 fatcat:3dfbgaovgzajzipb23p25rqdba

A Survey of Content-Based Video Retrieval

P. Geetha, Vasumathi Narayanan
2008 Journal of Computer Science  
This study surveys current trends/methods in video retrieval.  ...  This work has done in an aim to assist the upcoming researchers in the field of video retrieval, to know about the techniques and methods available for video retrieval.  ...  User-friendly Content-Based Retrieval (CBR) systems operating at semantic level would identify motion-features as the key besides other features like color, objects etc., because motion (either of camera  ... 
doi:10.3844/jcssp.2008.474.486 fatcat:ntongqzelvdbtanlz4tuerzreq

A SURVEY ON CONTENT BASED VIDEO RETRIEVAL USING MPEG-7 VISUAL DESCRIPTORS

2017 International Journal of Advance Engineering and Research Development  
Several methods have been developed for retrieval of videos based on extracting their visual features automatically in recent years.  ...  This paper describes the applications, challenges, methods and limitations of content based video retrieval systems. It also explains the MPEG-7 visual descriptors with their application.  ...  So this descriptor is very useful for making a content-based retrieval system more interactive and efficient in querying and retrieving similar 3D objects.  ... 
doi:10.21090/ijaerd.99438 fatcat:vbmr7awdf5ao5n677bwggbcq2a

A Motion Recognition Method by Using Primitive Motions [chapter]

Ryuta Osaki, Mitsuomi Shimada, Kuniaki Uehara
2000 Advances in Visual Information Management  
Contents-based retrieval of multimedia information has been investigated in several research projects. In this paper, we will focus on an automatic indexing method for human motion data.  ...  It makes us possible to recognize a motion with ease even if it is complex.  ...  This is what is called contents-based retrieval.  ... 
doi:10.1007/978-0-387-35504-7_8 fatcat:cz6s52gvrrcxbjsv7dn5jhhcse

Automatic Non-Linear Video Editing Transfer [article]

Nathan Frey, Peggy Chi, Weilong Yang, Irfan Essa
2021 arXiv   pre-print
Our Computer Vision based techniques considers framing, content type, playback speed, and lighting of each input video segment.  ...  We evaluated our approach with real-world videos that contained a total of 3872 video shots of a variety of editing styles, including different subjects, camera motions, and lighting.  ...  Our method captures the camera motion through frame-to-frame keypoint matching with a RANSAC based homography solver [9, 10] (see Figure 3 ).  ... 
arXiv:2105.06988v1 fatcat:iuwfhdur4jeydheuukp5manehq

Content based Video Retrieval: A Survey

Dipika HPatel
2015 International Journal of Computer Applications  
Content-based video retrieval has attracted wide research during the last 10 years. Users are more diverted to content based search rather than text based search.  ...  These lead to the process of selecting, indexing and ranking the database according to the human visual perception. This paper reviews the recent research in content based video retrieval system.  ...  areas [10] . 1) Motion Feature Analysis: The effective use of motion information is essential for content-based video retrieval.  ... 
doi:10.5120/19245-0596 fatcat:dhxgdstmgzcuxlnj65sgtfvhey

Automatic Video Database Indexing and Retrieval [chapter]

Edoardo Ardizzone, Marco La Cascia
1997 Representation and Retrieval of Video Data in Multimedia Systems  
The system automatically splits a video into a sequence of shots, extracts a few representative frames (said r-frames) from each shot and computes r-frame descriptors based on color, texture and motion  ...  The increasing development of advanced multimedia applications requires new technologies for organizing and retrieving by content databases of still digital images or digital video sequences.  ...  characterization, semi-automatic annotation tools may be introduced in order to face with subjectivity inherent in content-based annotation and retrieval tasks (see also [36] ).  ... 
doi:10.1007/978-0-585-31786-1_3 fatcat:5ipqpazxezdqzdhcj4old7qpz4

A Survey on Visual Content-Based Video Indexing and Retrieval

Weiming Hu, Nianhua Xie, Li Li, Xianglin Zeng, S. Maybank
2011 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
This paper offers a tutorial and an overview of the landscape of general strategies in visual content-based video indexing and retrieval, focusing on methods for video structure analysis, including shot  ...  boundary detection, key frame extraction and scene segmentation, extraction of features including static key frame features, object features and motion features, video data mining, video annotation, video  ...  More recently, these databases have become much larger and content-based indexing and retrieval are required, based on the automatic analysis of videos with the minimum of human participation.  ... 
doi:10.1109/tsmcc.2011.2109710 fatcat:qtenus4htffcfbyuiwidgjojku

ICBR – Multimedia Management System for Intelligent Content Based Retrieval [chapter]

Janko Ćalić, Neill Campbell, Majid Mirmehdi, Barry T. Thomas, Ron Laborde, Sarah Porter, Nishan Canagarajah
2004 Lecture Notes in Computer Science  
This paper presents a system designed for the management of multimedia databases that embarks upon the problem of efficient media processing and representation for automatic semantic classification and  ...  Its objectives are founded on the integration of a large-scale wildlife digital media archive with a manually annotated semantic metadata organised in a structured taxonomy and media classification system  ...  Thus, a large-scale system that merges the semantic text-based retrieval approach to multimedia databases with content-based feature analysis and investigates the signification links between them ought  ... 
doi:10.1007/978-3-540-27814-6_70 fatcat:blnfvc3ez5fgxdjcenol3ecky4

Deep signatures for indexing and retrieval in large motion databases

Yingying Wang, Michael Neff
2015 Proceedings of the 8th ACM SIGGRAPH Conference on Motion in Games - SA '15  
Given a query motion, similar motion segments can be retrieved at interactive speed with excellent match quality.  ...  We tested both manually and automatically segmented motion databases and our experiments show that extracting the deep signature is fast and scales well with large databases.  ...  [2005] introduced an innovative approach using geometric relational features, and successfully applied them for content-based motion indexing, retrieval and segmentation.  ... 
doi:10.1145/2822013.2822024 dblp:conf/mig/WangN15 fatcat:p722z62bxfd7pebnj2mbrn23hy
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