Natural scene classification is a fundamental challenge in computer vision. By far, the
majority of studies have limited their scope to scenes from single image stills and thereby …

Today modern vehicles are often equipped with a camera, which captures the scene in front
of the vehicle. The recognition of weather conditions with this camera can help to improve …

The billions of public photos on online social media sites contain a vast amount of latent
visual information about the world. In this paper, we study the feasibility of observing the …

Semantic scene classification is a challenging problem in computer vision. In contrast to the
common approach of using low-level features computed from the whole scene, we propose" …

Recent research has shown the power of context-aware scene understanding in bridging
the semantic gap between high-level semantic concepts and low-level image features. In …

Semantic scene classification, the process of categorizing photographs into a discrete set of
classes using pattern recognition techniques, is a useful ability for image annotation …

Visual Lifelogging is the process of kee** track of one's life through wearable cameras.
The focus of this research is to automatically classify images, captured from a wearable …

The classification of an image scene having multiple class labels produces significant
challenge to the researchers. A semantic scene may be described by multiple objects or by …

This paper proposes a novel scene classification method that represents a scene as a latent
aspect distribution using the probabilistic latent semantic analysis (pLSA) with visterm …

An efficient approach for scene classification is necessary for automatically labeling an
image as well as for retrieval of desired images from large scale repositories. In this paper …