Blogroll
Categories
-
Recent Posts
Archives
- December 2018
- October 2018
- September 2018
- August 2018
- March 2018
- February 2018
- January 2018
- December 2017
- November 2017
- October 2017
- September 2017
- August 2017
- July 2017
- June 2017
- May 2017
- April 2017
- March 2017
- February 2017
- January 2017
- December 2016
- November 2016
- October 2016
- September 2016
- August 2016
- July 2016
- June 2016
- May 2016
- April 2016
- March 2016
- February 2016
- January 2016
- December 2015
- November 2015
- October 2015
- September 2015
- July 2015
- December 2014
- November 2014
- October 2014
- August 2014
- July 2014
- June 2014
- April 2014
- March 2014
- February 2014
- January 2014
- December 2013
- November 2013
- October 2013
- September 2013
- August 2013
- July 2013
- June 2013
- May 2013
- April 2013
- March 2013
Tag Archives: image retrieval
Image Provenance Analysis at Scale
In this article, the authors present a fully automated large-scale end-to-end pipeline that starts with the step of provenance image filtering (over millions of images) and ends up with the provenance graphs. The most immediate application of provenance image filtering … Continue reading
Posted in blog, DéjàVu, publications, science
Tagged Allan Pinto, Anderson Rocha, Aparna Bharati, arXiv.org, Daniel Moreira, Digital Humanities, Digital Image Forensics, Graphs, image phylogeny, Image Provenance, Image Provenance Analysis, image retrieval, Joel Brogan, Kevin W. Bowyer, Michael Parowski, Patrick J. Flynn, Provenance Analysis, Provenance Analysis at Scale, Walter J. Scheirer
Leave a comment
Best paper award finalist at ICIP’2014
Prof. Ricardo Torres of RECOD, together with Prof. Daniel Pedronette (RECOD alumni, now at UNESP/Rio Claro) was among the nine finalists for the best paper award at this year’s IEEE International Conference on Image Processing (ICIP’2014) held last month in Paris, … Continue reading
Posted in awards, publications, science
Tagged cbir, correlation graph, Daniel Pedronette, ICIP, ICIP 2014, image retrieval, manifold learning, Ricardo Torres
Leave a comment
