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Video Data Visualization System : Semantic Classification and Personalization
2012
International Journal of Computer Graphics & Animation
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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. ...
Our work is based on semantic classification resulting from semantic analysis of video. The obtained classes will be projected in the visualization space. ...
Various tasks consist to the video concepts extraction, video data semantic classification, video data organization and video data visualization system personalization. ...
doi:10.5121/ijcga.2012.2201
fatcat:67ryfztdd5hhtkebrel3zuvrki
Content-Based Video Recommendation System Based on Stylistic Visual Features
2016
Journal on Data Semantics
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This paper investigates the use of automatically extracted visual features of videos in the context of recommender systems and brings some novel contributions in the domain of video recommendations. ...
We propose a new content-based recommender system that encompasses a technique to automatically analyze video contents and to extract a set of representative stylistic features (lighting, color, and motion ...
The method extracts and uses the low-level visual features from video content in order to provide users with personalized recommendations, without relying on any high-level semantic features -such as, ...
doi:10.1007/s13740-016-0060-9
fatcat:gix7sg3hnjasncopkqfx6u5xba
Multimedia translation for linking visual data to semantics in videos
2009
Machine Vision and Applications
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The semantic gap problem, which can be referred to as the disconnection between low-level multimedia data and high-level semantics, is an important obstacle to build real-world multimedia systems. ...
In a common framework, we formulate these problems as the problem of finding missing correspondences between visual and semantic data and apply the multimedia translation method. ...
Acknowledgments This research is partially supported by TÜBİTAK Career grant number 104E065 and grant number 104E077, and by the European COST292 Action on Semantic Multimodal Analysis of Digital Media ...
doi:10.1007/s00138-009-0217-8
fatcat:3gn4tl3y6zholerqoqx2damob4
Summarization and Visualization of Large Volumes of Broadcast Video Data
[article]
2019
arXiv
pre-print
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We have also presented an extensive literature review of previous work done towards news videos format detection, element band classification, and associative reasoning. ...
Two classifers have been trained and evaluated for the labeling of the detected bands as natural or artificial - Support Vector Machine (SVM) Classifer with RBF kernel, and Extreme Learning Machine (ELM ...
This work, when applied to a news video in conjunction with the output of the semantic story segmentation and video shot linking, could be used as an effective way to generate the entire news summary. ...
arXiv:1901.03842v1
fatcat:6tmn6lnscrcz3elbo7moi2j2tu
Eye movement prediction and variability on natural video data sets
2012
Visual Cognition
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C b C r ; the second, Lab, is optimized towards the human visual system and is perceptually uniform (Poynton, 2003) . ...
system. ...
doi:10.1080/13506285.2012.667456
pmid:22844203
pmcid:PMC3404848
fatcat:zblf6bv6tbb3dbtqlbo6xuss4e
Visual event recognition in videos by learning from web data
2010
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
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the structural risk functional and mismatch between data distributions of two domains. ...
We propose a visual event recognition framework for consumer videos by leveraging a large amount of loosely labeled web videos (e.g., from YouTube). ...
Based on this data set, Chang et al. [5] developed a multi-modal consumer video classification system by using visual features and audio features. In the web video domain, Liu et al. ...
doi:10.1109/cvpr.2010.5539870
dblp:conf/cvpr/DuanXTL10
fatcat:vvhsva6hufbm5aonz7gntibzpe
Visual Event Recognition in Videos by Learning from Web Data
2012
IEEE Transactions on Pattern Analysis and Machine Intelligence
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the structural risk functional and mismatch between data distributions of two domains. ...
We propose a visual event recognition framework for consumer videos by leveraging a large amount of loosely labeled web videos (e.g., from YouTube). ...
Based on this data set, Chang et al. [5] developed a multi-modal consumer video classification system by using visual features and audio features. In the web video domain, Liu et al. ...
doi:10.1109/tpami.2011.265
pmid:22201057
fatcat:itomwxpzkjgcpmaq7e6l4a5zhy
A Survey on the Automatic Indexing of Video Data,
1999
Journal of Visual Communication and Image Representation
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This paper surveys several approaches and algorithms that have been recently proposed to automatically structure audio-visual data, both for annotation and access. C 1999 Academic Press ...
Today a considerable amount of video data in multimedia databases requires sophisticated indices for its effective use. ...
In this study, both the pixel-by-pixel comparison and histogram comparison algorithms are used. 2. Shot classification. Shots are classified into anchor person shots (A shots) and news shots. ...
doi:10.1006/jvci.1997.0404
fatcat:hgvh6xcpgvgl5nwvoddsblky5i
CKM: A shared visual analytical tool for large-scale analysis of audio-video interviews
2013
2013 IEEE International Conference on Big Data
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We have been combining text-mining and visualization techniques to facilitate big data analysis in human rights research. ...
Our access to human rights violation data has increased with the growing number and size of data collections. ...
This project is funded by SSHRC Digging into Data challenge grant. ...
doi:10.1109/bigdata.2013.6691677
dblp:conf/bigdataconf/XiaoLH13
fatcat:tmepqmrdsravrn5bwf6bc2ktku
Bring It to the Pitch: Combining Video and Movement Data to Enhance Team Sport Analysis
2018
IEEE Transactions on Visualization and Computer Graphics
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We propose a visual analytics system that tightly integrates team sport video recordings with abstract visualization of underlying trajectory data. ...
Our system seamlessly integrates video and visualization modalities, enabling analysts to draw on the advantages of both analysis forms. ...
ACKNOWLEDGMENTS This work was supported by the ERC Starting Grant "Light Field Imaging and Analysis" and the SFB Transregio 161 "Quantitative Methods for Visual Computing". ...
doi:10.1109/tvcg.2017.2745181
pmid:28866578
fatcat:yqbnasxv4zbjjojq7wao7xxf7e
On-line knowledge- and rule-based video classification system for video indexing and dissemination
2002
Information Systems
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An indexing and filtering process can now be built using the semantic concept hierarchy to personalize multimedia data based on users' interests. ...
To facilitate intelligent access to the rich multimedia data over the Internet, we develop an on-line knowledge-and rule-based video classification system that supports automatic "indexing" and "filtering ...
Acknowledgements The work presented in this paper is supported by the DARPA project on Semantic Multicase, No. N66001-97-2-8901. ...
doi:10.1016/s0306-4379(02)00018-2
fatcat:7hdldelhujbore53qfftnaanb4
Semantic Based Video Retrieval System: Survey
2018
Iraqi Journal of Science
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The video retrieval system is used for finding the users' desired video among a huge number of available videos on the Internet or database. ...
The semantic gap is formed because of the difference between the low level features that are extracted from video content and user's perceptions of these features in a real world. ...
Video Annotation In semantic based retrieval, annotation is the process of assigning semantics concepts, like person, car, sky, and people walking to video shots [49] . ...
doi:10.24996/ijs.2018.59.2a.12
fatcat:6fvq6pygqzglbptl4czxpzbjbm
Customer Feedback System - Evolution towards Semantically-enhanced Systems
2015
Proceedings of the 11th International Conference on Web Information Systems and Technologies
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As a result, paper presents an approach for semantic enhancement of a customer feedback system. ...
Managing and analysing the data collected about products and customers become very critical. ...
ACKNOWLEDGEMENTS The research is done in the Agora Center (University of Jyvaskyla, Finland) in collaboration with Inno-W Company under the Need4Speed program in DIGILE SHOK (funded by TEKES and consortium ...
doi:10.5220/0005480505180525
dblp:conf/webist/Khriyenko15
fatcat:6pe5lbtxgjgjrp7takxpn6dmba
Audio-Textual Classification System Design for Arabic News Videos
2016
International Journal of Computing and Information Sciences
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We propose a system design that implements multimodal video classification such that annotations and caption processing is excluded. The domain targetted is the news domain. ...
The system consists of audio features extraction and classification, combined with speech-to-text conversion and processing, by utilizing Arabic Named Entity Recognition tools. ...
representation and description of audio-visual data. ...
doi:10.21700/ijcis.2016.124
fatcat:jgid6kup7jh5xdt472l3gzualy
The Stanford/Technicolor/Fraunhofer HHI Video Semantic Indexing System
2012
TREC Video Retrieval Evaluation
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Video search has become a very important tool, with the ever-growing size of multimedia collections. This work introduces our Video Semantic Indexing system. ...
Also, we show that systems using a limited number of descriptors and machine learning techniques can still be quite effective. ...
High-level overview of the system, with example for the concepts 'Landscape', 'Male Person', 'Computer' and 'News Studio'. Each thumbnail represents a video shot. ...
dblp:conf/trecvid/AraujoSLZSPG12
fatcat:o2fj4sm4cnf7pot3bkczkwt2om
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