Recognizing aerial image categories is useful for scene annotation and surveillance. Local
features have been demonstrated to be robust to image transformations, including …

Weakly supervised image segmentation is a challenging problem in computer vision field. In
this paper, we present a new weakly supervised image segmentation algorithm by learning …

People go to fortune tellers in hopes of learning things about their future. A future career path
is one of the topics most frequently discussed. But rather than rely on" black arts" to make …

Weakly-supervised image segmentation is a challenging problem with multidisciplinary
applications in multimedia content analysis and beyond. It aims to segment an image by …

As one of the most basic photo manipulation processes, photo cropping is widely used in the
printing, graphic design, and photography industries. In this paper, we introduce graphlets (…

Weakly supervised image segmentation is an important yet challenging task in image processing
and pattern recognition fields. It is defined as: in the training stage, semantic labels are …

Photo cropping is widely used in the printing industry, photography, and cinematography.
Conventional photo cropping methods suffer from three drawbacks: 1) the semantics used to …

Photo aesthetic quality evaluation is a fundamental yet under addressed task in computer
vision and image processing fields. Conventional approaches are frustrated by the following …

As compared to simple actions, activities are much more complex, but semantically consistent
with a human's real life. Techniques for action recognition from sensor generated data are …

In this paper, a new fine-grained image categorization system that improves spatial pyramid
matching is developed. In this method, multiple cells are combined into cellets in the …