Dimiccoli, MariellaLönn, Stefan2018-02-012018-02-012017-06-22https://hdl.handle.net/2445/119479Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2017, Director: Mariella DimiccoliWe live in a society were a large portion of the population has, or has used a smartphone or/and a digital camera. In addition, hard drives and cloud storage are getting cheaper and cheaper, leading to a tremendous growth in stored personal photos. Organizing manually such large collections of photographs would be unfeasible. To solve the need of organizing such a large collection of personal photos automatically, we propose a system that first estimates the user profile, and then classifies the photos in categories related to the estimated profile. To estimate the user profile, we adapt a topic discovery method used in document analysis, called Probabilistic Latent Semantic Analysis (pLSA). Based on the estimated profile, we provide a personalized photo classification, using a set of pretrained Convolutional Neuronal Network (CNN). In this manner, we achieve an efficient, scalable, flexible and more tailored organization of the user’s photos.44 p.application/pdfengmemòria: cc-by-nc-sa (c) Stefan Lönn, 2017codi: GPL (c) Stefan Lönn, 2017http://creativecommons.org/licenses/by-sa/3.0/eshttp://www.gnu.org/licenses/gpl-3.0.ca.htmlFotografia digitalAnàlisi documentalProgramariTreballs de fi de grauClassificacióXarxes neuronals (Informàtica)Reconeixement de formes (Informàtica)Digital photographySubject catalogingComputer softwareBachelor's thesesClassificationNeural networks (Computer science)Pattern recognition systemsinfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/openAccess