Sökning: "Bildåtervinning"
Visar resultat 1 - 5 av 7 uppsatser innehållade ordet Bildåtervinning.
1. Evaluating Transfer Learning Models on Synthetic Data for Beverage Label Image Retrieval : A Comparative Study
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Information retrieval is a research area that has seen improvements with the development of deep learning and artificial neural networks. The vast amount of image data available today has made it possible to train computer vision models for efficient image search. LÄS MER
2. Designing Variational Autoencoders for Image Retrieval
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The explosive growth of acquired visual data on the Internet has raised interestin developing advanced image retrieval systems. The main problem relies on thesearch of a specic image among large collections or databases, and this issue isshared by lots of users from a variety of domains, like crime prevention, medicineor journalism. LÄS MER
3. Google Bilders användbarhet : Gränssnitt, sökfunktioner och återvinning
Kandidat-uppsats, Institutionen för kulturvetenskaper, KVSammanfattning : This essay explores to what extent the Swedish language version of Google Images meets the usability requirements of average everyday users. Previously published studies on user behaviour and users‟ interface and search option preferences define the usability requirements, which are matched against Google Images‟ actual interface and search options. LÄS MER
4. Innehållsbaserad bildåtervinning med Haar-transformation
Magister-uppsats, Högskolan i Borås/Institutionen Biblioteks- och informationsvetenskap / BibliotekshögskolanSammanfattning : The purpose of this thesis is to evaluate 7 different search strategies for content-based image retrieval with respect to retrieval effectiveness. The strategies are based on different levels of resolution implemented by the Haar transformation. LÄS MER
5. Vad säger bilden? : En utvärdering av återvinningseffektiviteten i ImBrowse
Magister-uppsats, Högskolan i Borås/Institutionen Biblioteks- och informationsvetenskap / BibliotekshögskolanSammanfattning : The aim of this master thesis is to evaluate the performance of the content-based image retrieval system ImBrowse from a semantic point of view. Evaluation of retrieval performance is a problem in content-based image retrieval (CBIR). LÄS MER