We propose a first attempt to classify events in static images by integrating scene and object categorizations. We define an event in a static image as a human activity taking pla...
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
Carolina Galleguillos, Boris Babenko, Andrew Rabin...
Abstract. Traditionally, distinguishing between high quality professional photos and low quality amateurish photos is a human task. To automatically assess the quality of a photo t...
Joint source-channel coding of scalable video using motion-compensated temporal filtering is considered. The proposed coding scheme consists of a structured vector quantizer based ...
Many emerging environments are increasingly facing the problem where the requirements of applications easily outstrip the system resources. This is particularly acute in the World...