Automatic image annotation is a process in which computer systems automatically assign the textual tags related with visual content to a query image. In most cases, inappropriate tags generated by the users as well as the images without any tags among the challenges available in this field have a negative effect on the query's result. In this paper, a new method is presented for automatic image...

A video‘s soundtrack is usually highly correlated to its content. Hence, audio-based techniques have recently emerged as a means for video concept detection complementary to visual analysis. Most state-of-the-art approaches rely on manual definition of predefined sound concepts such as “engine sounds”, “outdoor/indoor sounds”. These approaches come with three major drawbacks: manual definitions...

In this paper, first we describe rushes summarization system which is made this year for the TRECVID2008 BBC rushes task. Our aim this year is to build up base system using minimum information and to see how it works. In the second we will describe about our High-level feature extraction system briefly.

Identifying peer-review helpfulness is an important task for improving the quality of feedback received by students, as well as for helping students write better reviews. As we tailor standard product review analysis techniques to our peer-review domain, we notice that peerreview helpfulness differs not only between students and experts but also between types of experts. In this paper, we inves...

This review article surveys extensively the current progresses made toward video-based human activity recognition. Three aspects for human activity recognition are addressed including core technology, human activity recognition systems, and applications from low-level to high-level representation. In the core technology, three critical processing stages are thoroughly discussed mainly: human ob...

Editing and deformation of irregular meshes have become standard tools in geometric modeling. Most approaches try to preserve low-level differential properties of the surface during editing, whereas the global structure and shape of the features are not explicitly taken into account. In this paper, we introduce a feature-driven editing approach that puts global structural properties of the shap...

In this study, we present the results of classification experiments of induced dog barks in different contexts of behaviour. We applied four validation schemes to trained models in order to determine the level of individuals dependency for context classification. We did an analysis based on feature selection techniques to determine the best acoustic low-level descriptors for this task. Results ...

The AAAI-90 Workshop on Qualitative Vision was organized into seven sessions, with each session focusing on a specific topic. The first session was on the approaches and psychophysical bases of qualitative vision, addressing the question of what is qualitative vision. The second session presented work on motion and navigation. The topics of the next four sessions were qualitative shape extracti...