Internet Archive Scholar
Filters
























2 Hits in 4.6 sec

Multimodal Graph-based Event Detection and Summarization in Social Media Streams

Manos Schinas, Symeon Papadopoulos, Georgios Petkos, Yiannis Kompatsiaris, Pericles A. Mitkas
2015 Proceedings of the 23rd ACM international conference on Multimedia - MM '15  

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (559.8 kB)
https://web.archive.org/web/20190218092710/https://static.aminer.org/pdf/20170130/pdfs/mm/x1lbgaqerdwghu9rtofiyyhm65jfvca3.pdf

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL. The file type is application/pdf.

In addition, it makes use of a graph-based diversity-oriented ranking approach and a versatile event retrieval mechanism to access summarized instances of the events of interest.  ...  The paper describes a multimodal graph-based system for addressing the Yahoo-Flickr Event Summarization Challenge of ACM Multimedia 2015.  ...  To perform summarization, the system takes advantage of the image graph and applies per event a graph-based ranking algorithm that produces a diverse set of images, ranked by their importance.  ... 
doi:10.1145/2733373.2809933 dblp:conf/mm/SchinasPPKM15 fatcat:u3f3napbtzhsljeqcumqfgyhtq
Citation

Manos Schinas, Symeon Papadopoulos, Georgios Petkos, Yiannis Kompatsiaris, Pericles A. Mitkas. "Multimodal Graph-based Event Detection and Summarization in Social Media Streams." Proceedings of the 23rd ACM international conference on Multimedia - MM '15 (2015) 189-192

Towards Subjective Multimedia Summarization Framework for Sporting Event in the Context of Digital Twins

Samah Bader Aloufi, University, My
2020

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (9.0 MB)
https://web.archive.org/web/20200725054048/https://ruor.uottawa.ca/bitstream/10393/40759/1/Aloufi_Samah_Bader_2020_thesis.pdf

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL. The file type is application/pdf.

The data generated on social media is loaded with the sentiment, opinions, and reactions of the public towards the events.  ...  In order to achieve our goal, we introduce popularity prediction and sentiment analysis models, both of which are essential in our summarization approach.  ...  Schinas et al. in [121] introduced the MGraph framework which utilized both topic modeling and a graph-based approach to summarize social events.  ... 
doi:10.20381/ruor-24986 fatcat:25j4wawirve7vbpl43rtqaxvgi
Citation

Samah Bader Aloufi, University, My. "Towards Subjective Multimedia Summarization Framework for Sporting Event in the Context of Digital Twins." (2020)