Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Scalable Recognition with a Vocabulary Tree
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Descriptive visual words and visual phrases for image applications
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Landmark recognition in VISITO: VIsual Support to Interactive TOurism in Tuscany
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Contextual synonym dictionary for visual object retrieval
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Landmark recognition and retrieval: from 2D to 3D
J-HGBU '11 Proceedings of the 2011 joint ACM workshop on Human gesture and behavior understanding
Visual synonyms for landmark image retrieval
Computer Vision and Image Understanding
Proceedings of the 20th ACM international conference on Multimedia
Spatially aware feature selection and weighting for object retrieval
Image and Vision Computing
| Hi-index | 0.00 |
In this paper, we consider the incoherence problem of the visual words in bag-of-words vocabularies. Different from existing work, which performs assignment of words based solely on closeness in descriptor space, we focus on identifying pairs of independent, distant words - the visual synonyms - that are still likely to host image patches with similar appearance. To study this problems we focus on landmark images, where we can examine whether image geometry is an appropriate vehicle for detecting visual synonyms. We propose an algorithm for the extraction of visual synonyms in landmark images. To show the merit of visual synonyms, we perform two experiments. We examine closeness of synonyms in descriptor space and we show a first application of visual synonyms in a landmark image retrieval setting. Using visual synonyms, we perform on par with the state-of-the-art, but with six times less visual words.