Proceedings ArticleDOI
Practice and challenges in trademark image retrieval
Jan Schietse,John Eakins,Remco C. Veltkamp +2 more
- pp 518-524
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TLDR
Some of the main challenges facing trademark searchers today are outlined, and the extent to which current automated systems are meeting those challenges is discussed.Abstract:
In this paper, we outline some of the main challenges facing trademark searchers today, and discuss the extent to which current automated systems are meeting those challenges.read more
Citations
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Journal ArticleDOI
An effective solution for trademark image retrieval by combining shape description and feature matching
TL;DR: An effective solution for TIR by combining shape description and feature matching is proposed and it can be seen that the proposed solution outperforms existing solutions for the widely used performance metrics.
Journal ArticleDOI
Context-Dependent Logo Matching and Recognition
TL;DR: The design of a novel variational framework able to match and recognize multiple instances of multiple reference logos in image archives and shows the validity of the method through extensive experiments on the challenging MICC-Logos dataset.
Journal ArticleDOI
Towards content-based patent image retrieval: A framework perspective
Stefanos Vrochidis,Symeon Papadopoulos,Anastasia Moumtzidou,Panagiotis Sidiropoulos,Emanuelle Pianta,Ioannis Kompatsiaris +5 more
TL;DR: The proposed framework involves the application of document image pre-processing, image feature and textual metadata extraction in order to support effectively content-based image retrieval in the patent domain.
Journal ArticleDOI
Trademark image retrieval using an integrated shape descriptor
TL;DR: An innovative trademark retrieval technique with improved retrieval performance due to the integration of global and local descriptors is proposed, derived from the contour information that is considered very important in human perception of visual similarity.
Proceedings ArticleDOI
Efficient logo retrieval through hashing shape context descriptors
Marçal Rusiñol,Josep Lladós +1 more
TL;DR: An efficient queried-by-example retrieval system which is able to retrieve logos by similarity from large databases of logo images as the Tobacco-800 logo database is proposed.
References
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Book ChapterDOI
The X-tree: an index structure for high-dimensional data
TL;DR: A new organization of the directory is introduced which uses a split algorithm minimizing overlap and additionally utilizes the concept of supernodes to keep the directory as hierarchical as possible, and at the same time to avoid splits in the directory that would result in high overlap.
Journal Article
Parts of recognition (A)
TL;DR: It is proposed that, for the task of object recognition, the visual system decomposes shapes into parts using a rule defining part boundaries rather than part shapes, that the rule exploits a uniformity of nature—transversality, and that parts with their descriptions and spatial relations provide a first index into a memory of shapes.
Journal ArticleDOI
Parts of recognition
TL;DR: In this article, the visual system decomposes shapes into parts, and uses a rule defining part boundaries rather than part shapes, exploiting a uniformity of nature, which allows an explanation of visual illusions.
Journal ArticleDOI
Relevance feedback in image retrieval: A comprehensive review
Xiang Sean Zhou,Thomas S. Huang +1 more
TL;DR: The nature of the relevance feedback problem in a continuous representation space in the context of content-based image retrieval is analyzed and a list of critical issues to consider when designing a relevance feedback algorithm is compiled.
Journal ArticleDOI
Shape-based retrieval: a case study with trademark image databases
Anil K. Jain,A. Vailaya +1 more
TL;DR: Considering the substantial amount of time and effort needed for a manual retrieval from a large image database, an automatic shape-based retrieval technique can significantly simplify the retrieval task.