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Author | Agnes Borras; Josep Llados | ||||
Title | Similarity-Based Object Retrieval Using Appearance and Geometric Feature Combination | Type | Book Chapter | ||
Year | 2007 | Publication | 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2007), J. Marti et al. (Eds.) LNCS 4477:113–120 | Abbreviated Journal | LNCS |
Volume | 4478 | Issue | Pages | 33–39 | |
Keywords | |||||
Abstract | This work presents a content-based image retrieval system of general purpose that deals with cluttered scenes containing a given query object. The system is flexible enough to handle with a single image of an object despite its rotation, translation and scale variations. The image content is divided in parts that are described with a combination of features based on geometrical and color properties. The idea behind the feature combination is to benefit from a fuzzy similarity computation that provides robustness and tolerance to the retrieval process. The features can be independently computed and the image parts can be easily indexed by using a table structure on every feature value. Finally a process inspired in the alignment strategies is used to check the coherence of the object parts found in a scene. Our work presents a system of easy implementation that uses an open set of features and can suit a wide variety of applications. | ||||
Address | Girona (Spain) | ||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | 978-3-540-72848-1 | Medium | ||
Area | Expedition | Conference | |||
Notes | DAG; | Approved | no | ||
Call Number | DAG @ dag @ BoL2007a; IAM @ iam @ BoL2007a | Serial | 776 | ||
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