The ability to associate images with natural language sentences that describe what is
depicted in them is a hallmark of image understanding, and a prerequisite for applications …

Automatic description generation from natural images is a challenging problem that has
recently received a large amount of interest from the computer vision and natural language …

Perceptual user interfaces (PUIs) are an important part of ubiquitous computing. Creating
such interfaces is difficult because of the image and signal processing knowledge required …

Questions regarding implicitness, ambiguity and underspecification are crucial for
understanding the task validity and ethical concerns of multimodal image+ text systems, yet …

Knowledge management is one of the key enabling technologies of distributed engineering
enterprises. It encompasses a wide range of organizational, management and …

In this survey, we argue that using structured vocabularies is capital to the success of image
annotation. We analyze literature on image annotation uses and user needs, and we stress …

This paper presents a novel Attribute-augmented Semantic Hierarchy (A2 SH) and
demonstrates its effectiveness in bridging both the semantic and intention gaps in Content …

An untested assumption behind the crowdsourced descriptions of the images in the
Flickr30K dataset (Young et al., 2014) is that they" focus only on the information that can be …

In order to resolve the mismatch between user needs and current image retrieval
techniques, we conducted a study to get more information about what users look for in …

When you hear the term" image management," do you think of making a good impression?
Or taking good care of Impressionists? If the latter, this book is for you Vast collections of …