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Treball de fi de grauData de publicació
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Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/119479
Personal photo organization
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We 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.
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Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2017, Director: Mariella Dimiccoli
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LÖNN, Stefan. Personal photo organization. [consulta: 30 de gener de 2026]. [Disponible a: https://hdl.handle.net/2445/119479]