Personal photo organization
| Autor: | Lönn, Stefan |
|---|---|
| Přispěvatelé: | Dimiccoli, Mariella |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Anàlisi documental
Bachelor's thesis Programari Bachelor's theses Pattern recognition systems Treballs de fi de grau Subject cataloging Classification Classificació Neural networks (Computer science) Digital photography Xarxes neuronals (Informàtica) Reconeixement de formes (Informàtica) Computer software Fotografia digital |
| Zdroj: | Dipòsit Digital de la UB Universidad de Barcelona |
| Popis: | Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2017, Director: Mariella Dimiccoli 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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