Large Scale Object and Category Localization - PhD Thesis Proposal

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00235500" target="_blank" >RIV/68407700:21230/15:00235500 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Large Scale Object and Category Localization - PhD Thesis Proposal
Original language description
The objective of this proposal is to retrieve and localize apriori unknown, given object in large image dataset. Search task is defined by an object in one or more given query images. Object content is usually selected by user drawing a bounding box in an image. Standard task is to find ``the most similar'' objects in the dataset. However, this work extends the standard definition by adding several new tasks (more suited to user preferences): (i) localize ``the most interesting'' details of query image(object); (ii) extend context of the query image by localizing additional content around it; (iii) retrieve the query object with significantly different appearance, etc. Besides defining new tasks, our work focuses on more scalable retrieval techniquesthat have significantly smaller memory footprint. This is important in order to keep up with the fast raise in number of publicly available images. We proposed methods that obtain state-of-the-art results in retrieval with compact (short
Czech name
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Czech description
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Project
<a href="/en/project/LL1303" target="_blank" >LL1303: Large Scale Category Retrieval</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Number of pages
90
Place of publication
Praha
Publisher/client name
Center for Machine Perception, K13133 FEE Czech Technical University
Version
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