Multimodal question answering for mobile devices
Proceedings of the 13th international conference on Intelligent user interfaces
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
Data-driven image completion by image patch subspaces
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
Delving deeper into the whorl of flower segmentation
Image and Vision Computing
Image similarity based on Discrete Wavelet Transform for robots with low-computational resources
Robotics and Autonomous Systems
Use of MKL as symbol classifier for Gujarati character recognition
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Similarity estimation using Bayes ensembles
SSDBM'10 Proceedings of the 22nd international conference on Scientific and statistical database management
Learning to recognize objects from unseen modalities
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Object classification using heterogeneous co-occurrence features
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
What does classifying more than 10,000 image categories tell us?
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Object classification using heterogeneous co-occurrence features
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Classifying Objects at Different Sizes with Multi-Scale Stacked Sequential Learning
Proceedings of the 2010 conference on Artificial Intelligence Research and Development: Proceedings of the 13th International Conference of the Catalan Association for Artificial Intelligence
Variable Sparsity Kernel Learning
The Journal of Machine Learning Research
Whorl identification in flower: a Gabor based approach
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
A multi-scale learning framework for visual categorization
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
An interactive flower image recognition system
Multimedia Tools and Applications
Semantics extraction from images
Knowledge-driven multimedia information extraction and ontology evolution
Hierarchical spatial matching kernel for image categorization
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I
Novel fusion methods for pattern recognition
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
Two-stage augmented kernel matrix for object recognition
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Towards a universal and limited visual vocabulary
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II
Evaluating feature combination in object classification
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II
Improvements in image categorization using codebook ensembles
Image and Vision Computing
Shared feature extraction for semi-supervised image classification
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Multi kernel learning with online-batch optimization
The Journal of Machine Learning Research
Modulating Shape Features by Color Attention for Object Recognition
International Journal of Computer Vision
Textural features in flower classification
Mathematical and Computer Modelling: An International Journal
Using multiple models to understand data
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Deriving a discriminative color model for a given object class from weakly labeled training data
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
A rapid flower/leaf recognition system
Proceedings of the 20th ACM international conference on Multimedia
Efficient optimization for low-rank integrated bilinear classifiers
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Reduced analytical dependency modeling for classifier fusion
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
A new biologically inspired color image descriptor
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Exploring bag of words architectures in the facial expression domain
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
Identification of plants from multiple images and botanical IdKeys
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
Towards automatic object annotations from global image labels
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
Multi-annulus partition based image representation for image classification
International Journal of Sensor Networks
The pooled NBNN kernel: beyond image-to-class and image-to-image
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Locality discriminative coding for image classification
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Con-text: text detection using background connectivity for fine-grained object classification
Proceedings of the 21st ACM international conference on Multimedia
The imageCLEF plant identification task 2013
Proceedings of the 2nd ACM international workshop on Multimedia analysis for ecological data
The multi-feature information bottleneck with application to unsupervised image categorization
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Infinite Dirichlet mixture models learning via expectation propagation
Advances in Data Analysis and Classification
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We investigate to what extent 'bag of visual words' models can be used to distinguish categories which have significant visual similarity. To this end we develop and optimize a nearest neighbour classifier architecture, which is evaluated on a very challenging database of flower images. The flower categories are chosen to be indistinguishable on colour alone (for example), and have considerable variation in shape, scale, and viewpoint. We demonstrate that by developing a visual vocabulary that explicitly represents the various aspects (colour, shape, and texture) that distinguish one flower from another, we can overcome the ambiguities that exist between flower categories. The novelty lies in the vocabulary used for each aspect, and how these vocabularies are combined into a final classifier. The various stages of the classifier (vocabulary selection and combination) are each optimized on a validation set. Results are presented on a dataset of 1360 images consisting of 17 flower species. It is shown that excellent performance can be achieved, far surpassing standard baseline algorithms using (for example) colour cues alone.