Logo Detection

Lieferzeit: Lieferbar innerhalb 14 Tagen

39,90 

Extraction, Matching, Segmentation and Classification

ISBN: 3659299340
ISBN 13: 9783659299346
Autor: Trevisiol, Michele
Verlag: LAP LAMBERT Academic Publishing
Umfang: 80 S.
Erscheinungsdatum: 27.05.2018
Auflage: 1/2018
Format: 0.5 x 22 x 15
Gewicht: 137 g
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 5206187 Kategorie:

Beschreibung

This book describes the research work carried out to fulfill the Master in Computer Science at the University of Padua. The work was performed during a visit at Yahoo! Research in Barcelona supervised by Roelof van Zwol. This work was part of a larger research project which is underway at Yahoo! Research in Barcelona. This book addresses the problem of detecting and retrieving all the logos contained in an image given as input. The problem of detecting and retrieving a logo consists of a variety of steps, each of which has different solutions. Although logo detection is an important research problem due to the potential industrial impact, a solution has not been yet proposed in the literature to our knowledge. This study is organized in three parts: collection, preparation and experimental study. A collection of logos was designed and implemented to train the classifier, to identify and to extract the logo features which were eventually used for logo detection. The experimental study regards the detection of logos from an input image. In particular, it aim to detect if the input image contains one or more logos and to decide which logos are contained.

Autorenporträt

Michele is a Ph.D. candidate at Universitat Pompeu Fabra and at Yahoo Labs Barcelona. His main research fields include Social Media, Multimedia Retrieval, User Behavior, Ranking/Recommendation and Geo-location Prediction. He is working with large data collections such as Flickr, Yahoo News, Twitter, and in general query and web-logs data.

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