An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
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
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Photo-to-Search: Using Camera Phones to Inquire of the Surrounding World
MDM '06 Proceedings of the 7th International Conference on Mobile Data Management
International Journal of Computer Vision
Fast Global Minimization of the Active Contour/Snake Model
Journal of Mathematical Imaging and Vision
Outdoors augmented reality on mobile phone using loxel-based visual feature organization
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Efficient Visual Search of Videos Cast as Text Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Survey on Mobile Landmark Recognition for Information Retrieval
MDM '09 Proceedings of the 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware
A Comparative Study of Mobile-Based Landmark Recognition Techniques
IEEE Intelligent Systems
Accurate image localization based on google maps street view
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Sampling strategies for bag-of-features image classification
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Evaluating score normalization methods in data fusion
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
Building detection from mobile imagery using informative SIFT descriptors
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Representations of Keypoint-Based Semantic Concept Detection: A Comprehensive Study
IEEE Transactions on Multimedia
IEEE Transactions on Image Processing
A memory efficient discriminative approach for location aided recognition
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
Location-aware mobile services for a smart city: design, implementation and deployment
Journal of Theoretical and Applied Electronic Commerce Research
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In this paper a novel framework for the development of computer vision applications that exploit sensors available in mobile devices is presented. The framework is organized as a client-server application that combines mobile devices, network technologies and computer vision algorithms with the aim of performing object recognition starting from photos captured by a phone camera. The client module on the mobile device manages the image acquisition and the query formulation tasks, while the recognition module on the server executes the search on an existing database and sends back relevant information to the client. To show the effectiveness of the proposed solution, the implementation of two possible plug-ins for specific problems is described: landmark recognition and fashion shopping. Experiments on four different landmark datasets and one self-collected dataset of fashion accessories show that the system is efficient and robust in the presence of objects with different characteristics.