Integrating computer vision and natural language processing is a novel interdisciplinary field
that has received a lot of attention recently. In this survey, we provide a comprehensive …

Content-based image retrieval is currently a very important area of research in the area of
multimedia databases. Plenty of research work has been undertaken to design efficient …

We present novel algorithms for computing discrete Fourier transforms with high
performance on GPUs. We present hierarchical, mixed radix FFT algorithms for both power …

We present the results of our work that seek to negotiate the gap between low-level features
and high-level concepts in the domain of web document retrieval. This work concerns a …

When modeling passive data to infer individual mental wellbeing, a common source of
ground truth is self-reports. But these tend to represent the psychological facet of mental …

In this paper, we study the task of visual-text retrieval in the highly practical setting in which
labelled visual data with paired text descriptions are available in one domain (the" source") …

As social networks are getting more and more popular day by day, large numbers of users
becoming constantly active social network users. In this way, there is a huge amount of data …

Tracking how correlated ideas flow within and across multiple social groups facilitates the
understanding of the transfer of information, opinions, and thoughts on social media. In this …

Purpose–To provide a better‐informed view of the extent of the semantic gap in image
retrieval, and the limited potential for bridging it offered by current semantic image retrieval …

Information retrieval (IR) is a complex human activity supported by sophisticated systems.
Information science has contributed much to the design and evaluation of previous …