Enhanced Semantic Descriptors for Functional Scene Categorization
Gloria Zen, Negar Rostamzadeh, Jacopo Staiano, Elisa Ricci, Nicu Sebe · 2012
In this work we present a novel approach which combines semantic information with low level features extracted from a complex video scene. The proposed method for video scene understanding relies on a bag-of-words approach, in which, typically, visual words contain information of local motion, but information re-garding what generated such motion is discarded. In-stead, in our framework, the semantic information is embedded in the visual words and it allows to automat-ically obtain semantic categorization of the scene. We show the effectiveness of our method in a traffic anal-ysis scenario: in this case, two main semantic classes, pedestrians and vehicles, are discovered. 1.