UPMC/LIP6 at ImageCLEFphoto 2008: on the Exploitation of Visual Concepts (VCDT)

In order to reduce the dependencies of human-labeled image data, Image- CLEF [14] has been organizing the photo annotation and retrieval task for the last several years, where

The CFS system was constructed by using VWCs. The procedure, from preprocessing to annotation, is as follows. 1 ) The test images are converted into a frequency

For the hierarchical recognition measure based on example-based F-measure, we obtained the rank 27 on 45. The value obtained is 0.477, and the median value is 0.530; we achieve

For the annotation of the images, we propose to exploit the interactions between the target visual concepts (inter-class relationships among the image labels) by using

We also consider the use of the tags matching the visual concept names to improve the scores predicted by the models.. The ex- periments show the difficulty of merging

All annotators were provided with a definition of the concepts and example images with the goal to allow a consistent annotation amongst the large number of persons. It was

The remainder of this paper is organized as follows, we first describe our visual image and text features (see §3), then we discuss the application of Canonical Correlation

Figure 2: An example of hierarchy effects on results obtained by the classifier; COOC represents the value of cooccurrence between two classes.. Sc is the real value of the