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Content Based Photo Search
Valenta, Martin ; Mlích, Jozef (referee) ; Španěl, Michal (advisor)
This work deals with methods appropriate to content based photo search, design and implementation of subsequent applications for searching buildings. Purpose of the application is to create an interactive guide to the city using a combination of Web and client technologies (mobile, desktop). There are subscribed in detail the steps of recognition. A key points of the image are extracted by SURF. A visual dictionary is calculated with k-means algorithm. The dictionary is weighted by TF- IDF. To describe the image data is used a Bag of Words method. The text also mentions the new trends in this area and summarizes the application design and implementation results achieved.
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Content Based Photo Search
Bařinka, Radek ; Přibyl, Bronislav (referee) ; Španěl, Michal (advisor)
This thesis deals with the problematics of searching of photographs by the content and existing applications dealing with this subject. The aim is the local working application for searching of photographs by the content given by a pattern. The solution consists of the simple graphical interface, the support of saving data and the reading of data from the transferable local database. The application searches the photographs of a given set that are similar to the given pattern. The results are visually depicted to the user. Feature extraction and detection by photo content is solved by means SURF algorithm, visual vocabulary created by method k-means and a description of photography as a bag of words. In addition,the searching of photographs by cosine similarity of vectors enriched with the independent calculation of homography and the selection of regions searched in an example photography. At the end of the technical report the results of testing are presented.
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Content Based Photo Search
Valenta, Martin ; Mlích, Jozef (referee) ; Španěl, Michal (advisor)
This work deals with methods appropriate to content based photo search, design and implementation of subsequent applications for searching buildings. Purpose of the application is to create an interactive guide to the city using a combination of Web and client technologies (mobile, desktop). There are subscribed in detail the steps of recognition. A key points of the image are extracted by SURF. A visual dictionary is calculated with k-means algorithm. The dictionary is weighted by TF- IDF. To describe the image data is used a Bag of Words method. The text also mentions the new trends in this area and summarizes the application design and implementation results achieved.
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Content Based Photo Search
Bařinka, Radek ; Přibyl, Bronislav (referee) ; Španěl, Michal (advisor)
This thesis deals with the problematics of searching of photographs by the content and existing applications dealing with this subject. The aim is the local working application for searching of photographs by the content given by a pattern. The solution consists of the simple graphical interface, the support of saving data and the reading of data from the transferable local database. The application searches the photographs of a given set that are similar to the given pattern. The results are visually depicted to the user. Feature extraction and detection by photo content is solved by means SURF algorithm, visual vocabulary created by method k-means and a description of photography as a bag of words. In addition,the searching of photographs by cosine similarity of vectors enriched with the independent calculation of homography and the selection of regions searched in an example photography. At the end of the technical report the results of testing are presented.
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