Exploiting generative models in discriminative classifiers
Proceedings of the 1998 conference on Advances in neural information processing systems II
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Image thresholding using Tsallis entropy
Pattern Recognition Letters
Image thresholding using two-dimensional Tsallis-Havrda-Charvát entropy
Pattern Recognition Letters
Evaluation campaigns and TRECVid
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
Kernel Codebooks for Scene Categorization
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
Graph-based semi-supervised learning with multiple labels
Journal of Visual Communication and Image Representation
Foundations and Trends in Information Retrieval
The Pascal Visual Object Classes (VOC) Challenge
International Journal of Computer Vision
Video corpus annotation using active learning
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Improving the fisher kernel for large-scale image classification
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Image classification using super-vector coding of local image descriptors
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
A fast MAP adaptation technique for gmm-supervector-based video semantic indexing systems
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Adapted vocabularies for generic visual categorization
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Coloring local feature extraction
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Interactive Video Indexing With Statistical Active Learning
IEEE Transactions on Multimedia
Tsallis entropy and the long-range correlation in image thresholding
Signal Processing
q-Gaussian mixture models based on non-extensive statistics for image and video semantic indexing
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
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Gaussian mixture models which extend Bag-of-Visual-Words (BoW) to a probabilistic framework have been proved to be effective for image and video semantic indexing. Recently, the q-Gaussian distribution, derived from Tsallis statistics [11], has been shown to be useful for representing patterns in many complex systems in physics. We propose q-Gaussian mixture models (q-GMMs), mixture models of q-Gaussian distributions with a parameter q to control its tail-heaviness, for image and video semantic indexing [1]. The long-tailed distributions obtained for q1 are expected to effectively represent complexly correlated data, and hence, to improve robustness against outliers. The main improvements over our previous study [1] are q-GMM super-vector representation to efficiently compute the q-GMM kernel, and detailed experimental analysis showing accuracy and testing-cost comparison with recent kernel methods. Our proposed method outperformed BoW and achieved 49.42% and 10.90% in Mean Average Precision on the PASCAL VOC 2010 and the TRECVID 2010 Semantic Indexing, respectively.