Gülcan Can

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Related publications (5)

How to Tell Ancient Signs Apart? Recognizing and Visualizing Maya Glyphs with CNNs

Jean-Marc Odobez, Daniel Gatica-Perez, Gülcan Can

Thanks to the digital preservation of cultural heritage materials, multimedia tools (e.g., based on automatic visual processing) considerably ease the work of scholars in the humanities and help them to perform quantitative analysis of their data. In this ...

2018

Maya Codical Glyph Segmentation: A Crowdsourcing Approach

Jean-Marc Odobez, Daniel Gatica-Perez, Gülcan Can

This paper focuses on the crowd-annotation of an ancient Maya glyph dataset derived from the three ancient codices that survived up to date. More precisely, non-expert annotators are asked to segment glyph-blocks into their constituent glyph entities. As a ...

2018

Ambiance in Social Media Venues: Visual Cue Interpretation by Machines and Crowds

Daniel Gatica-Perez, Yassir Benkhedda, Gülcan Can

We study the perception of ambiance of places captured in social media images by both machines and crowdworkers. This task is challenging due to the subjective nature of the ambiance construct as well as the large variety in layout, style, and visual chara ...

IEEE2018

Visual Analysis of Maya Glyphs via Crowdsourcing and Deep Learning

Gülcan Can

In this dissertation, we study visual analysis methods for complex ancient Maya writings. The unit sign of a Maya text is called glyph, and may have either semantic or syllabic significance. There are over 800 identified glyph categories, and over 1400 var ...

EPFL2017

Evaluating Shape Representations for Maya Glyph Classification

Jean-Marc Odobez, Daniel Gatica-Perez, Gülcan Can

Shape representations are critical for visual analysis of cultural heritage materials. This article studies two types of shape representations in a bag-of-words-based pipeline to recognize Maya glyphs. The first is a knowledge-driven Histogram of Orientati ...

2016

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