ABSTARCT : Image question answering is a useful way of finding information about physical objects. Current question answering (QA) systems are text-based and can be
ABSTARCT : Image question answering is a useful way of finding information about physical objects. Current question answering (QA) systems are text-based and can be
Abstract: With the increasing rate at which data is created by internet users on various platforms, it becomes necessary to analyze and make use of
ABSTRACT Most of the existing music recommendation systems use collaborative or content based recommendation engines. However, the music choice of a user is not only
ABSTRACT: Voice control is a major growing feature that change the way people can live. The voice assistant is commonly being used in smartphones and
ABSTRACT Automatic human gesture recognition from camera images is an interesting topic for developing intelligent vision systems. In this paper, we propose a convolution neural
ABSTRACT Sign Language Recognition (SLR) targets on interpreting the sign language into text or speech, so as to facilitate the communication between deaf-mute people and
Abstract: Security is always a main concern in every domain, due to a rise in crime rate in a crowded event or suspicious lonely areas.
Abstract: The traditional SPM approach based on bag-of-features (BoF) requires nonlinear classifiers to achieve good image classification performance. This paper presents a simple but effective
Abstract: The traditional SPM approach based on bag-of-features (BoF) requires nonlinear classifiers to achieve good image classification performance. This paper presents a simple but effective
ABSTARCT : We compare a recent dehazing method based on deep learning, Dehaze net, with traditional state-of-the-art approaches, on benchmark data with reference. Dehaze net