Human action annotation, modeling and analysis based on implicit user interaction
Multimedia Tools and Applications
Implicit visual concept modeling in image / video annotation
Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams
Assessing the role of spatial relations for the object recognition task
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
An automatic web-oriented multimedia extraction and multiresolution visualization scheme
ACA'12 Proceedings of the 11th international conference on Applications of Electrical and Computer Engineering
Multimedia Tools and Applications
Multimedia Tools and Applications
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Spatial relations between image regions are used in this paper for image classification in a rule-based fash- ion. In the particular case where image regions correspond to semantically interpretable objects the rules provide the means for justifying classification in a human-familiar man- ner. In the work presented here instances of particular ob- ject classes are detected combining bottom-up (learnable models based on simple features) and top-down informa- tion(object models consisting of primitive geometric shapes such as lines). The rule-based system acts as a model for the spatial configuration of objects. Experimental results in the athletic domain show that despite inaccuracy in object detection, spatial relations allow for efficient discrimination between visually similar images classes.