15th International Conference on
Big Visual Data: Challenges and Applications
Visual data is massively stored and processed by different agents in the industrial world, whilst people have changed the way in which they acquire and transmit both images and videos as part of their daily routines. This unprecedented amount of visual data has created new research opportunities and technological challenges. In this context, the combination of computer vision and big data has become an active area of research finding success in many different domains.
This special session is focused on large scale computer vision algorithms and large scale machine learning techniques that address the problems derived from the increasing visual data availability. Additionally, it pursues to offer a meeting opportunity for academics and researchers to present their cutting-edge approaches to deal with large scale vision problems and identify unique challenges that need to be faced.
We invite authors to contribute with their recent advances derived from the availability of huge amounts of visual data, as well as review papers with the state-of-art techniques and the open challenges encountered in this field. In particular, topics of interest include, but are not limited to:
Authors are invited to submit full papers showing original research contributions. The conference proceedings will be
published in the Springer Lecture Notes in Computer Science series (Springer LNCS). Prospective authors should
submit an electronic copy of their complete manuscript through the ICIAR 2018 submission system by
Special Session Chairs
ICIAR - International Conference on Image Analysis and Recognition
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