Automatic caption localization for photographs on World Wide Web pages
Information Processing and Management: an International Journal
Light-years from Lena: video and image libraries of the future
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1 - Volume 1
A Template-Based Shape Representation Technique
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Fast shape index framework based on principle component analysis using edge co-occurrence matrix
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Significantly improving scan-based shape representations using rotational key feature points
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I
Invariant curvature-based Fourier shape descriptors
Journal of Visual Communication and Image Representation
Shape-based image retrieval using pair-wise candidate co-ranking
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Separability versus prototypicality in handwritten word-image retrieval
Pattern Recognition
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A method for image-based queries and search is proposed which is based on the generation of object outlines in images by using the pen, e.g., on color pen computers. The rationale of the approach is based on a survey on user needs, as well as on considerations from the point of view of pattern recognition and machine learning. By exploiting the actual presence of the human users with their perceptual-motor abilities and by storing textually annotated queries, an incrementally learning image retrieval system can be developed. As an initial test domain, sets of photographs of motor bicycles were used. Classification performances are given for outline and bitmap-derived feature sets, based on nearest-neighbour matching, with promising results. The benefit of the approach will be a user-based multimodal annotation of an image database, yielding a gradual improvement in precision and recall over time.