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Analyzing Large-Scale News Video Databases to Support Knowledge Visualization and Intuitive Retrieval

Hangzai Luo, Jianping Fan, Jing Yang, William Ribarsky, Shin'ichi Satoh
2007 2007 IEEE Symposium on Visual Analytics Science and Technology  
In this paper, we have developed a novel framework to enable more effective investigation of large-scale news video database via knowledge visualization.  ...  news stories of interest at first glance and capture the relevant knowledge in large-scale video news databases efficiently.  ...  Therefore, there is an urgent demand for achieving intuitive and effective exploration of large-scale video news databases.  ... 
doi:10.1109/vast.2007.4389003 dblp:conf/ieeevast/LuoFYRS07 fatcat:uhfiroazmrdolbucnux3hmgdfe

Internet visual media processing: a survey with graphics and vision applications

Shi-Min Hu, Tao Chen, Kun Xu, Ming-Ming Cheng, Ralph R. Martin
2013 The Visual Computer  
This article surveys recent research as regards processing of large collections of images and video, including work on analysis, manipulation, and synthesis.  ...  retrieval, organization, and utilization.  ...  We refer to these images and videos as Internet visual media, and they can be considered to form a large online database.  ... 
doi:10.1007/s00371-013-0792-6 fatcat:omwwludvznhvrmgl5oeffienyy

Integrating multi-modal content analysis and hyperbolic visualization for large-scale news video retrieval and exploration

H. Luo, J. Fan, S. Satoh, J. Yang, W. Ribarsky
2008 Signal processing. Image communication  
In this paper, we have developed a novel scheme to achieve more effective analysis, retrieval and exploration of large-scale news video collections by performing multi-modal video content analysis and  ...  Finally, a novel hyperbolic visualization scheme is incorporated to visualize large-scale news topics according to their associations and interestingness.  ...  Acknowledgment This work was sponsored by the National Visualization and Analytics Center (NVAC TM ) under the auspices of the Southeast Regional Visualization and Analytics Center. NVAC is a U.S.  ... 
doi:10.1016/j.image.2008.04.014 fatcat:uvfv6g76kzhfbhx7mosxks3yum

Multimedia Analysis + Visual Analytics = Multimedia Analytics

N A Chinchor, J J Thomas, P C Wong, M G Christel, W Ribarsky
2010 IEEE Computer Graphics and Applications  
The US National Visualization and Analytics Center at the Pacific Northwest National Laboratory has also supported some of the described research.  ...  Acknowledgments The US National Science Foundation has supported the Informedia research reported here under grant IIS-0705491.  ...  Informedia researchers noticed that extracting evidence and support materials from large video repositories can be extremely tedious, owing to the linear time-dependent nature of audio and video recordings  ... 
doi:10.1109/mcg.2010.92 pmid:24807414 fatcat:jtfnj2rl7zgaxk3ormulucd2ti

Knowledge discovery over community-sharing media: From signal to intelligence

Winston Hsu, Tao Mei, Rong Yan
2009 2009 IEEE International Conference on Multimedia and Expo  
and pose new challenges for the design of efficient search, mining, and visualization methods for manipulation.  ...  Besides plain visual or audio signals, such large-scale media are augmented with rich context such as user-provided tags, geolocations, time, device metadata, and so on, benefiting a wide variety of potential  ...  and incompleteness of crowd annotations. (3) Analyze and transfer training data from one specific domain to others (e.g., from YouTube videos to Flickr photos).  ... 
doi:10.1109/icme.2009.5202775 dblp:conf/icmcs/HsuMY09 fatcat:nzblrwkfjfdcvfhlc65pvkotbi


Kan Ren, Janko Calic
2009 Proceedings of the seventeen ACM international conference on Multimedia - MM '09  
This paper presents a novel intuitive interactive interface for browsing of large image collections that visualizes underlying structure of the dataset by its size and spatial relations.  ...  Intuitive interfaces have become increasingly important multimedia applications, from personal photo collection to professional management systems.  ...  The main aim of the browsing system was to enable intuitive and responsive browsing of large-scale image databases.  ... 
doi:10.1145/1631272.1631406 dblp:conf/mm/RenC09 fatcat:rfkurpclardmznakhrabrnodty

Context Aware Location Identification in Social Media Environment

2015 International Journal of Science and Research (IJSR)  
society and pose new challenges for the design of efficient search, mining, and visualization methods for manipulation.  ...  Besides plain visual or audio signals, such large-scale media are augmented with rich context such as user-provided tags, geolocations, time, device metadata, and so on, benefiting a wide variety of potential  ...  An effective visualization of such large scale media collections can allow efficient indexing, browsing, and even effective world exploration and social interaction.  ... 
doi:10.21275/v4i11.nov151065 fatcat:74uzbph3jvb7za4u6fqx4ckrqi

Video Data Visualization System : Semantic Classification and Personalization

2012 International Journal of Computer Graphics & Animation  
We present in this paper an intelligent video data visualization tool, based on semantic classification, for retrieving and exploring a large scale corpus of videos.  ...  The graph is represented by nodes and edges, the nodes are the keyframes of video documents and the edges are the relation between documents and the classes of documents.  ...  In result, our tool allows a simple, intuitive and efficient navigation in large-scale video corpus.  ... 
doi:10.5121/ijcga.2012.2201 fatcat:67ryfztdd5hhtkebrel3zuvrki

A survey on cbir techniques and learning algorithm comparison

2016 International Journal of Latest Trends in Engineering and Technology  
Therefore, hierarchical database index is structured and then image can be retrieved among large scale image database online.  ...  CBIR based on Visual Contents Here we have various approaches of retrieving images from large database on the basis of its visual contents and some of its limitations [12] . IV.  ... 
doi:10.21172/1.81.026 fatcat:jvw72a4pmjhmzogib5gqy7sgqm

Retrieval of high-dimensional visual data: current state, trends and challenges ahead

Antonio Foncubierta-Rodríguez, Henning Müller, Adrien Depeursinge
2013 Multimedia tools and applications  
For these two types of 3D information sources, systems have become available to characterize the objects or textures and search for similar visual content in large databases.  ...  The employed techniques are analysed and regrouped to highlight similarities and complementarities among them in order to guide the choice of optimal approaches for new 3D and 4D retrieval problems.  ...  The most common application for video retrieval is large-scale audiovisual collection management [92, 135] .  ... 
doi:10.1007/s11042-012-1327-2 fatcat:nmhj5uwedbcedpzelg2ptqkqce

Human-Machine Cooperation in Large-Scale Multimedia Retrieval: A Survey

Kimiaki Shirahama, Marcin Grzegorzek, Bipin Indurkhya
2015 Journal of Problem Solving  
Large-Scale Multimedia Retrieval (LSMR) is the task to fast analyze a large amount of multimedia data like images or videos and accurately find the ones relevant to a certain semantic meaning.  ...  This reveals that due to prioritizing the generality and scalability for large-scale data, recent methods interpret semantic meanings with a completely different mechanism from humans, though such humanlike  ...  Therefore, a lot of research effort has been put on the development of Large-Scale Multimedia Retrieval (LSMR) methods, which analyze a large amount of multimedia data in terms of various semantic meanings  ... 
doi:10.7771/1932-6246.1173 fatcat:hrjbuq4s4bbo7p5pmfrd6f3bva

Video Object Mining: Issues and Perspectives

Jonathan Weber, Sebastien Lefevre, Pierre Gancarski
2010 2010 IEEE Fourth International Conference on Semantic Computing  
We then propose a generic framework to deal with video object mining.  ...  But video object mining needs some semantics, both in the object extraction step and in the object mining step.  ...  ACKNOWLEDGEMENTS This work has been supported by Ready Business System, Entzheim, France and the French National Association for Research and Technology (ANRT).  ... 
doi:10.1109/icsc.2010.71 dblp:conf/semco/WeberLG10 fatcat:ylrd66b72jfghpjn4sudvefifa

A Survey on Visual Analytics of Social Media Data

Yingcai Wu, Nan Cao, David Gotz, Yap-Peng Tan, Daniel A. Keim
2016 IEEE transactions on multimedia  
Many visual analytics methods have been proposed across disciplines to understand large-scale structured and unstructured social media data.  ...  In this paper, we present a comprehensive survey to characterize this fast-growing area and summarize the state-ofthe-art techniques for analyzing social media data.  ...  Recent progress on visual analytics creates new opportunities for understanding large-scale, dynamic, and heterogeneous social media data.  ... 
doi:10.1109/tmm.2016.2614220 fatcat:o4nc5eutpfhrplo4joa45dxbnq

A Framework For Large-Scale Analysis Of Video "In The Wild" To Assist Digital Forensic Examination

Apostolos Axenopoulos, Volker Eiselein, Antonio Penta, Eugenia Koblents, Ernesto La Mattina, Petros Daras
2017 Zenodo  
Digital forensics departments usually have to analyse vast amounts of audio-visual content, such as videos collected from street CCTV footage, hard drives or online resources.  ...  tools for image and video analysis, object detection and tracking and event detection.  ...  The authors would like to thank the London Metropolitan Police, UK, for providing the CCTV video footage and for giving permission to process the dataset for research purposes.  ... 
doi:10.5281/zenodo.1071749 fatcat:fdq74cdiurh3biqnsewscbjmdy

Automated Dermoscopy Image Analysis of Pigmented Skin Lesions

Alfonso Baldi, Marco Quartulli, Raffaele Murace, Emanuele Dragonetti, Mario Manganaro, Oscar Guerra, Stefano Bizzi
2010 Cancers  
In order to reduce the learning-curve of non-expert clinicians and to mitigate problems inherent in the reliability and reproducibility of the diagnostic criteria used in pattern analysis, several indicative  ...  The goal of this article is to review these systems, focusing on the most recent approaches based on content-based image retrieval systems (CBIR).  ...  Indeed, we argue that a system, able to retrieve and present cases with known pathology similar in appearance to the lesion under evaluation, may provide an intuitive and effective support to clinicians  ... 
doi:10.3390/cancers2020262 pmid:24281070 pmcid:PMC3835078 fatcat:c3z55uhmorhrrfmyndsq4t4eym
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