International Journal of Computer Vision
On Interfaces for Mobile Information Retrieval
Mobile HCI '02 Proceedings of the 4th International Symposium on Mobile Human-Computer Interaction
InfoScope: Link from Real World to Digital Information Space
UbiComp '01 Proceedings of the 3rd international conference on Ubiquitous Computing
SIGGRAPH '78 Proceedings of the 5th annual conference on Computer graphics and interactive techniques
ISWC '97 Proceedings of the 1st IEEE International Symposium on Wearable Computers
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Evaluation of an extraction-based approach to answering definitional questions
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Perceptually uniform color spaces for color texture analysis: an empirical evaluation
IEEE Transactions on Image Processing
Automated annotation of landmark images using community contributed datasets and web resources
SAMT'10 Proceedings of the 5th international conference on Semantic and digital media technologies
CAPIRE: a context-aware points of interest REcognition system using a CBIR approach
FMN'10 Proceedings of the Third international conference on Future Multimedia Networking
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Traditional content based image retrieval attempts to retrieve images using syntactic features for a query image. Annotated image banks and Google allow the use of text to retrieve images. In this paper, we studied the task of using the content of an image to retrieve information in general. We describe the significance of object identification in an information retrieval paradigm that uses image set as intermediate means in indexing and matching. We also describe a unique Singapore Tourist Object Identification Collection with associated queries and relevance judgments for evaluating the new task and the need for efficient image matching using simple image features. We present comprehensive experimental evaluation on the effects of feature dimensions, context, spatial weightings, coverage of image indexes, and query devices on task performance. Lastly we describe the current system developed to support mobile image-based tourist information retrieval.