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Analyzing and Visualizing Ancient Maya Hieroglyphics Using Shape: from Computer Vision to Digital Humanities

Related publications (32)

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Object Duplicate Detection

Péter Vajda

With the technological evolution of digital acquisition and storage technologies, millions of images and video sequences are captured every day and shared in online services. One way of exploring this huge volume of images and videos is through searching a ...

EPFL2011

Analyzing ancient Maya glyph collections with Contextual Shape Descriptors

Daniel Gatica-Perez, Jean-Marc Odobez, Edgar Roman Rangel

This paper presents an original approach for shape-based analysis of ancient Maya hieroglyphs based on an interdisciplinary collaboration between computer vision and archaeology. Our work is guided by realistic needs of archaeologists and scholars who crit ...

Springer US2010

Task-oriented Usability Evaluation of a WebGIS for a Real-World Community

François Golay, Jens Ingensand

This paper describes the usability evaluation of a WebGIS. The system under evaluation has been developed for a real-world community in the Swiss canton de Vaud, namely for two people who are involved in wine making. The system's usability is tested with u ...

Urban and Regional Information Systems Association2010

Retrieving Ancient Maya Glyphs with Shape Context

Daniel Gatica-Perez, Jean-Marc Odobez, Edgar Roman Rangel

We introduce an interdisciplinary project for archaeological and computer vision research teams on the analysis of the ancient Maya writing system. Our first task is the automatic retrieval of Maya syllabic glyphs using the Shape Context descriptor. We inv ...

IEEE2009

Variational methods for texture segmentation

Nawal Houhou

In the last decades, image production has grown significantly. From digital photographs to the medical scans, including satellite images and video films, more and more data need to be processed. Consequently the number of applications based on digital imag ...

EPFL2009

User decision improvement and trust building in product recommender systems

Li Chen

As online stores are offering an almost unlimited shelf space, users must increasingly rely on product search and recommender systems to find their most preferred products and decide which item is the truly best one to buy. However, much research work has ...

EPFL2008

Evaluating product search and recommender systems for E-commerce environments

Pearl Pu Faltings, Li Chen, Pratyush Kumar

Online systems that help users select the most preferential item from a large electronic catalog are known as product search and recommender systems. Evaluation of various proposed technologies is essential for further development in this area. This paper ...

Springer US2008

Design and evaluation issues for user-centric online product search

Jiyong Zhang

Nowadays more and more people are looking for products online, and a massive amount of products are being sold through e-commerce systems. It is crucial to develop effective online product search tools to assist users to find their desired products and to ...

EPFL2008

A multimodal pattern recognition framework for speaker detection

Patricia Besson

Speaker detection is an important component of a speech-based user interface. Audiovisual speaker detection, speech and speaker recognition or speech synthesis for example find multiple applications in human-computer interaction, multimedia content indexin ...

EPFL2007

Explicit Passive Analysis in Electronic Catalogs

Martin Rajman, David Portabella Clotet

We consider example-critiquing systems that help people search for their most preferred item in a large catalog. We compare 6 existing approaches in terms of user or system-centric, implicit or explicit use of preferences, assumptions used and their behavi ...

2006