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Video Understanding and Content-Based Retrieval

Yun Zhai, Jingen Liu, Xiaochun Cao, Arslan Basharat, Asaad Hakeem, Saad Ali, Mubarak Shah, Constantino Grana, Rita Cucchiara
2005 TREC Video Retrieval Evaluation  
Retrieval In the retrieval phase, we have implemented a logical expression parser, which is able to read in the query in up to two levels of logics, including AND, OR and NOT.  ...  Indexing The system contains two parts, indexing and retrieval. There are four components, based on which the indices were created: ASR, OCR, global histogram and high-level features.  ... 
dblp:conf/trecvid/ZhaiLCBHASGC05 fatcat:mhy664vu6rhzxefy43zkwbr6oa

[Survey paper] A Review of Video Retrieval Based on Image and Video Semantic Understanding

Miki Haseyama, Takahiro Ogawa, Nobuyuki Yagi
2013 ITE Transactions on Media Technology and Applications  
Research trends in new video retrieval based on image and video semantic understanding are presented in this paper.  ...  First, recent studies related to image and video semantic analysis are introduced to understand leading-edge multimedia retrieval technologies.  ...  Survey Paper » A Review of Video Retrieval Based on Image and Video Semantic Understanding  ... 
doi:10.3169/mta.1.2 fatcat:dinab3a2zzgkbarjt752vr65vy

The State of the Art in Image and Video Retrieval [chapter]

Nicu Sebe, Michael S. Lew, Xiang Zhou, Thomas S. Huang, Erwin M. Bakker
2003 Lecture Notes in Computer Science  
Image and video retrieval continues to be one of the most exciting and fastestgrowing research areas in the field of multimedia technology. What are the main challenges in image and video retrieval?  ...  What is needed is that the techniques for organizing images and video stay in tune with the amounts of information. Therefore, there is an urgent need for a semantic understanding of image and video.  ...  Another framework for video content understanding using context and multimedia ontologies is proposed by Jaimes et al [4] .  ... 
doi:10.1007/3-540-45113-7_1 fatcat:j2luzb6dfbfnfb7movbhfmpcwa

Video retrieval and summarization

Nicu Sebe, Michael S. Lew, Arnold W.M. Smeulders
2003 Computer Vision and Image Understanding  
For example, the user can pose a similarity based query of "Find a video scene similar to this one."  ...  Moving from images to video adds several orders of complexity to the retrieval problem due to indexing, analysis, and browsing over the inherently temporal aspect of video.  ...  Content-based video indexing and retrieval There are four main processes involved in content-based video indexing and retrieval [2, 4, 7] : video content analysis, video structure parsing, summarization  ... 
doi:10.1016/j.cviu.2003.08.003 fatcat:6azywnsaurerfbtvftnscl6jbm

Challenges of Image and Video Retrieval [chapter]

Michael S. Lew, Nicu Sebe, John P. Eakins
2002 Lecture Notes in Computer Science  
Bruijn and Lew [2] investigate multi-modal content-based browsing and searching methods for Peer2Peer retrieval systems. Their work targets the assumption  ...  Image and video retrieval is a young field which has its genealogy rooted in artificial intelligence, digital signal processing, statistics, natural language understanding, databases, psychology, computer  ...  In order for image and video retrieval to mature, we will need to understand how to evaluate and benchmark features, methods, and systems.  ... 
doi:10.1007/3-540-45479-9_1 fatcat:tq2btxvta5fchbkq4brug4qwqi

A Content-Based Video Retrieval Method Using a Visualized Sound Pattern [chapter]

Katsunobu Fushikida, Yoshitsugu Hiwatari, Hideyo Waki
1998 Visual Database Systems 4 (VDB4)  
A content-based video scene retrieval method using a multimodal index is proposed. Representative images of video scenes and corresponding visualized sound patterns are used as the multimodal index.  ...  The results of video index browsing experiments indicate the effectiveness of the image-sound combined index method for efficient video queries and understanding the content.  ...  Understanding video content through retrieval and browsing © 1998 IFIP. Published by Chapman & Hall  ... 
doi:10.1007/978-0-387-35372-2_18 fatcat:cxj56pyx4nd6njqtnuvltvfqb4

Concept-Based Video Retrieval

Cees G. M. Snoek, Marcel Worring
2007 Foundations and Trends in Information Retrieval  
If proper example images are unavailable, content-based image retrieval techniques are not effective at all. Moreover, users often do not understand similarity expressed in low-level visual features.  ...  Research in content-based retrieval has resulted in a wide variety of image and video search systems [17, 32, 34, 61, 67, 72, 114, 143, 180, 197, 207, 214, 258, 266] .  ... 
doi:10.1561/1500000014 fatcat:x3ilddzy6bdefpxars5lm4avfa

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

A Survey on Video Content Analysis

Yamini Gupta
Finally we cluster these divisions and arrange them in a table of contents for users to browse and retrieve the video part they require.  ...  This work aims at developing a better understanding towards the process of Video Content Analysis. Video analysis is basically how the computer interprets any video.  ...  We have defined how feature extraction is based on 2 classes, colour based and motion based.  ... 
doi:10.26472/ijrae.v1i2.23 fatcat:3bwmgwvgevamhml4byzn3u6il4

Challenges and opportunities of image and video retrieval

Guoping Qiu
2022 Frontiers in Imaging  
August CITATION Qiu G ( ) Challenges and opportunities of image and video retrieval. Front. Imaging. : . doi: .  ...  A good image and video retrieval solution requires understanding the contents at the object, scene, and semantic level. . .  ...  Understanding at object, scene, and semantic levels To accurately locate specific image and video contents, it is necessary to understand what objects have appeared in an image or a video frame, what the  ... 
doi:10.3389/fimag.2022.951934 fatcat:g4wlnaaxibd57d46uevctnk74e

Page 524 of SMPTE Motion Imaging Journal Vol. 106, Issue 8 [page]

1997 SMPTE Motion Imaging Journal  
The project is creating intelli- gent, automatic mechanisms for popu- lating the library and allowing for its full-content and knowledge-based search and video segment retrieval.  ...  The approach described here uti- lizes several techniques to enable con- tent-based searching and segment retrieval. Content is conveyed in both the narrative (speech and language) and the image.  ... 

A Natural Language Approach to Content-Based Video Indexing and Retrieval for Interactive E-Learning

D. Zhang, J.F. Nunamaker
2004 IEEE transactions on multimedia  
We propose a natural language approach to content-based video indexing and retrieval to identify appropriate video clips that can address users' needs.  ...  Index Terms-Learning by asking, natural language processing, video indexing and retrieval.  ...  A Natural Language Approach to Content-Based Video Indexing and Retrieval for Interactive E-Learning Dongsong Zhang and Jay F. Nunamaker I.  ... 
doi:10.1109/tmm.2004.827505 fatcat:xmzz54h5t5dtpo7m4wjmzbbvvq

Content-Based Information Retrieval and Digital Libraries

Gary (Gang) Wan, Zao Liu
2008 Information Technology and Libraries  
This paper discusses the applications and importance of content-based information retrieval technology in digital libraries.  ...  As a good complement to traditional textbased information retrieval technology, content-based information retrieval will be a significant trend for the development of digital libraries.  ...  ■ Content-based video retrieval Content-based video retrieval (CBVR) is a more recent research topic than CBIR and CBAR, partly because the digitization technology for video appeared later than those  ... 
doi:10.6017/ital.v27i1.3262 fatcat:i2vcfkeewbge7dxg5jelkvzv7y

An MPEG-7 compatible video retrieval system with support for semantic queries

Quan Zheng, Zhiwei Zhou
2011 2011 International Conference on Consumer Electronics, Communications and Networks (CECNet)  
It firstly uses a self-made video semantic processing tool, which is based on a video analysis tool and added with semantic graph annotation and natural language processing functions, to parse videos and  ...  Because of adopting a distributed architecture, XUNET is highly scalable and supports mass video information index and retrieval.  ...  At present, traditional video retrieval technologies could be divided into two ways: text-based queries and content-based queries [1] .  ... 
doi:10.1109/cecnet.2011.5768292 fatcat:haf4fn7kvjfhjbzg3atwf5z3we

Multimedia indexing and retrieval: ever great challenges

Chabane Djeraba, Moncef Gabbouj, Patrick Bouthemy
2006 Multimedia tools and applications  
The special issue is actually situated between old problems and new challenges, and contribute to understand the next multimedia indexing and retrieval generation.  ...  The contributions explore wide range of fields such as signal processing, data mining and information retrieval.  ...  The special issue would not be possible without the great effort and reactions of the authors and reviewers.  ... 
doi:10.1007/s11042-006-0025-3 fatcat:qlgf7xogufespd3qmv54ssvixu
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