@conference {cRoldan-Carlosa,
	title = {Event Video Retrieval using Global and Local Descriptors in Visual Domain},
	booktitle = {IEEE/ACM International Workshop on Content-Based Multimedia Indexing - CBMI 2015 },
	year = {2015},
	month = {06/2015},
	abstract = {<p>With the advent of affordable multimedia smart phones, it has become common that people take videos when they are at events. The larger the event, the larger is the amount of videos taken there and also, the more videos get shared online. To search in this mass of videos is a challenging topic. In this paper we present and discuss a prototype software for searching in such videos. We focus only on visual information, and we report on experiments based on a research data set. With a small study we show that our prototype demonstrates promising results by identifying the same scene in different videos taken from different angles solely based on content based image retrieval.</p>},
	url = {https://upcommons.upc.edu/handle/2117/76553},
	author = {Roldan-Carlos, Jennifer and Lux, Mathias and Xavier Gir{\'o}-i-Nieto and Pia Mu{\~n}oz-Trallero and Anagnostopoulos, Nektarios}
}
