Lydia Weiland

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No part of this journal may be reproduced or used in any form or by any means without written permission from the publisher, except for noncommercial, educational use including classroom teaching purposes. Product or company names used in this journal are for identification purposes only. Inclusion of the names of the products or companies does not indicate(More)
The message of news articles is often supported by the pointed use of iconic images. These images together with their captions encourage emotional involvement of the reader. Current algorithms for understanding the semantics of news articles focus on its text, often ignoring the image. On the other side, works that target the semantics of images, mostly(More)
Recognizing, validating, and optimizing activities of workers in logistics is increasingly aided by smart devices like glasses, gloves, and sensor enhanced wristbands. We present a system that augments picking processes with smart glasses and wristband that incorporates different types of sensors including ultrasonic, pressure, and inertial. We focus on low(More)
A key task to understand an image and its corresponding caption is not only to find out what is shown on the picture and described in the text, but also what is the exact relationship between these two elements. The long-term objective of our work is to be able to distinguish different types of relationship, including literal vs. non-literal usages, as well(More)
We present an overview of our two runs submitted to the MediaEval 2014 Retrieving Diverse Social Images task, each relying only on visual and textual features. Whilst the approach for textual features is based on a standard tf-idf bag-of-words approach, we fo-cused for visual features on a more complex contribution for the task which consists of clustering(More)