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https://github.com/Jhhuangkay/awesome-data-visualization

Awesome Data Visualization
https://github.com/Jhhuangkay/awesome-data-visualization

List: awesome-data-visualization

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Awesome Data Visualization

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README 

        
# Awesome Data Visualization



A reading list of resources dedicated to Multimedia Data Visualization.



# Papers

## Review Papers

1. Jan Zahálka, Marcel Worring. Towards interactive, intelligent, and integrated multimedia analytics, IEEE Conference on Visual Analytics Science and Technology (VAST), 2014. [[Paper]](https://ieeexplore.ieee.org/document/7042476)



2. Ork de Rooij, Marcel Worring. Active Bucket Categorization for High Recall Video Retrieval, IEEE Transactions on Multimedia , 2013. [[Paper]](https://ieeexplore.ieee.org/document/6403551)



3. Ork de Rooij, Marcel Worring. Efficient targeted search using a focus and context video browser, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) , 2012. [[Paper]](https://dl.acm.org/citation.cfm?id=2379793)



4. Marcel Worring, Dennis Koelma, Jan Zahálka. Multimedia Pivot Tables for Multimedia Analytics on Image Collections, IEEE Transactions on Multimedia , 2016. [[Paper]](https://ieeexplore.ieee.org/abstract/document/7579240)



5. Jan Zahálka,	Stevan Rudinac, Marcel Worring. Analytic Quality: Evaluation of Performance and Insight in Multimedia Collection Analysis, ACM international conference on Multimedia , 2015. [[Paper]](https://dl.acm.org/citation.cfm?id=2806279)



6. Cees G. M. Snoek, Koen E. A. van de Sande, Ork de Rooij, Bouke Huurnink, Efstratios Gavves, Daan Odijk, Maarten de Rijke, Theo Gevers, Marcel Worring, Dennis C. Koelma, and Arnold W. M. Smeulders. The MediaMill TRECVID 2010 Semantic Video Search Engine, Proceedings of the TRECVID 2010 Workshop , 2010. [[Paper]](https://www.koen.me/research/pub/snoek-trecvid2010.pdf)



7. Ork de Rooij, Marcel Worring, and Jarke J. van Wijk. MediaTable: Interactive Categorization of Multimedia Collections, IEEE Computer Graphics and Applications , 2010. [[Paper]](https://ieeexplore.ieee.org/document/5473200)



8. Ichiro IDE, Hiroshi MO, and Norio KATAYAMA. Threading news video topics, ACM SIGMM international workshop on Multimedia information retrieval , 2003. [[Paper]](https://dl.acm.org/citation.cfm?id=973264.973301)



9. Ichiro IDE, Hiroshi MO, Norio KATAYAMA, and Shin’ichi Satoh. Topic threading for structuring a large-scale news video archive, International Conference on Image and Video Retrieval, 2004. [[Paper]](https://link.springer.com/chapter/10.1007/978-3-540-27814-6_18)



10. Ichiro IDE, Ye Zhang, Ryunosuke Tanishige, Keisuke Doman, Yasutomo Kawanishi, Daisuke Deguchi and Hiroshi Murase. Summarization of News Videos Considering the Consistency of Auditory and Visual Contents, IEEE International Symposium on Multimedia (ISM), 2017. [[Paper]](https://ieeexplore.ieee.org/document/8241599)



11. Ichiro IDE, Tomoyoshi Kinoshita, Tomokazu Takahashi, Hiroshi Mo, Norio Katayama, Shin'ichi Satoh, Hiroshi Murase. Efficient Tracking of News Topics Based on Chronological Semantic Structures in a Large-Scale News Video Archive, IEICE Transactions, 2012. [[Paper]](https://pdfs.semanticscholar.org/8046/f02b344ed8f700591ddb44f9c9842825cb85.pdf?_ga=2.103957000.924792512.1548083381-1884175352.1544621100)



12. Ichiro IDE, Tomoyoshi Kinoshita, Tomokazu Takahashi, Hiroshi Mo, Norio Katayama, Shin'ichi Satoh, Hiroshi Murase. Exploiting the Chronological Semantic Structure in a Large-scale Broadcast News Video Archive for its Efficient Exploration, Proceedings of the Second APSIPA Annual Summit and Conference, 2010 [[Paper]](http://toriwaki.nuie.nagoya-u.ac.jp/~ide/res/paper/E10-conference-ide-3pub.pdf)



13. Zheng Lu, Kristen Grauman. Story-Driven Summarization for Egocentric Video, IEEE Conference on Computer Vision and Pattern Recognition, 2013 [[Paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619194)



14. M.A. Smith , T. Kanade. Video skimming and characterization through the combination of image and language understanding techniques, IEEE Conference on Computer Vision and Pattern Recognition, 2002 [[Paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619194)



15. Masoud Mazloom†,  Robert Rietveld,  Stevan Rudinac, Marcel Worring,  Willemijn van Dolen. Multimodal Popularity Prediction of Brand-related Social Media Posts, ACM international conference on Multimedia, 2016 [[Paper]](https://staff.science.uva.nl/m.mazloom/Papers/mazloom-ACM-MM-2016.pdf)



16. Tat-Seng Chua, Nicolas Diaz-Ferreyra, Gerald Friedland, Tatjana Gornostaja, Benoit Huet, Rianne Kaptein, Krister Lindén, Marie-Francine Moens, Jaakko Peltonen, Miriam Redi, Markus Schedl, David A. Shamma, Alan Smeaton, Lexing Xie. Rethinking Summarization and Storytelling for Modern Social Multimedia, International Conference on Multimedia Modeling, 2018 [[Paper]](https://link.springer.com/chapter/10.1007/978-3-319-73603-7_51)



17. Kaiyang Zhou, Yu Qiao, Tao Xiang. Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward, Conference on The Association for the Advancement of Artificial Intelligence (AAAI), 2018 [[Paper]](https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/download/16395/16358)



18. SHOGO KUMAGAI, KEISUKE DOMAN, TOMOKAZU TAKAHASHI, DAISUKE DEGUCHI, ICHIRO IDE and HIROSHI MURASE. SPEECH SHOT EXTRACTION FROM BROADCAST NEWS VIDEOS, International Journal of Semantic Computing, 2012 [[Paper]](https://www.worldscientific.com/doi/abs/10.1142/S1793351X12400077)



19. Alan F. Smeaton, Paul Over, Wessel Kraaij. Evaluation Campaigns and TRECVid, ACM international workshop on Multimedia information retrieval, 2006 [[Paper]](http://delivery.acm.org/10.1145/1180000/1178722/p321-smeaton.pdf?ip=146.50.28.28&id=1178722&acc=ACTIVE%20SERVICE&key=0C390721DC3021FF%2E86041C471C98F6DA%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&__acm__=1548268708_09fa940aeb966312afef1280ce844703)



20. Ichiro IDE, Hiroshi MO, Norio KATAYAMA, Shin’ichi SATOH. Topic-Based Structuring of a Very Large-Scale News Video Corpus, Conference on The Association for the Advancement of Artificial Intelligence (AAAI), 2003 [[Paper]](https://www.aaai.org/Papers/Symposia/Spring/2003/SS-03-08/SS03-08-011.pdf)



21. Ming-yu Chen, Michael Christel, Alexander Hauptmann, and Howard Wactlar. Putting Active Learning into Multimedia Applications: Dynamic Definition and Refinement of Concept Classifiers, ACM Multimedia, 2005 [[Paper]](https://www.cs.cmu.edu/~hdw/acmm05_f514-hauptmann.pdf)



22. Yale Song, Jordi Vallmitjana, Amanda Stent, Alejandro Jaimes. TVSum: Summarizing Web Videos Using Titles, IEEE Conference on Computer Vision and Pattern Recognition, 2015 [[Paper]](https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Song_TVSum_Summarizing_Web_2015_CVPR_paper.pdf)



23. Sheng Li, Zhiqiang Tao, Kang Li, Yun Fu. Visual to Text: Survey of Image and Video Captioning, IEEE Transactions on Emerging Topics in Computational Intelligence, 2019 [[Paper]](https://ieeexplore.ieee.org/abstract/document/8627985/authors#authors)



24. Xinhui Song, Ke Chen, Jie Lei, Li Sun, Zhiyuan Wang, Lei Xie, Mingli Song. Category driven deep recurrent neural network for video summarization, IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2016 [[Paper]](https://ieeexplore.ieee.org/abstract/document/7574720)



25. Ke Zhang, Wei-Lun Chao, Fei Sha, Kristen Grauman. Video Summarization with Long Short-Term Memory, IEEE Conference on European Conference on Computer Vision, 2016 [[Paper]](https://link.springer.com/chapter/10.1007/978-3-319-46478-7_47)



26. Huijuan Xu, Boyang Li, Vasili Ramanishka, Leonid Sigal, Kate Saenko. Joint Event Detection and Description in Continuous Video Streams, IEEE Winter Applications of Computer Vision Workshops (WACVW), 2019 [[Paper]](https://ieeexplore.ieee.org/abstract/document/8638336)



27. Bor-Chun Chen, Yan-Ying Chen, Francine Chen. TVSum: Summarizing Web Videos Using Titles, The British Machine Vision Conference (BMVC), 2017 [[Paper]](http://bcsiriuschen.github.io/pdf/bmvc17video.pdf)



28. Ranjay Krishna, Kenji Hata, Frederic Ren, Li Fei-Fei, Juan Carlos Niebles. Dense-Captioning Events in Videos, IEEE International Conference on Computer Vision (ICCV), 2017 [[Paper]](http://openaccess.thecvf.com/content_iccv_2017/html/Krishna_Dense-Captioning_Events_in_ICCV_2017_paper.html)



29. Xu Lan, Hanxiao Wang, Shaogang Gong, Xiatian Zhu. Deep Reinforcement Learning Attention Selection for Person Re-Identification, The British Machine Vision Conference (BMVC), 2017 [[Paper]](http://www.eecs.qmul.ac.uk/~sgg/papers/LanEtAl_2017BMVC.pdf)



30. JAKUB LOKOČ, GREGOR KOVALČÍK, BERND MÜNZER, KLAUS SCHÖFFMANN, WERNER BAILER, RALPH GASSER, STEFANOS VROCHIDIS, PHUONG ANH NGUYEN, SITAPA RUJIKIETGUMJORN, KAI UWE BARTHEL. Interactive Search or Sequential Browsing? A Detailed Analysis of the Video Browser Showdown 2018, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2019 [[Paper]](https://dl.acm.org/citation.cfm?id=3295663)