In recent years a vast amount of visual content has been generated and shared from many
fields, such as social media platforms, medical imaging, and robotics. This abundance of …

Despite the fact that automatic content analysis has made remarkable progress over the last
decade-mainly due to significant advances in machine learning-interactive video retrieval is …

This paper presents the most recent additions to the vitrivr retrieval stack, which will be put to
the test in the context of the 2019 Video Browser Showdown (VBS). The vitrivr stack has …

Multimedia content is increasing immensely as there are various websites available to
upload images. Image retrieval is a method of searching for, viewing, and retrieving images …

Most existing image retrieval systems use text queries as a way for the user to express what
they are looking for. However, fine-grained image retrieval often requires the ability to also …

In the real world, where information is abundant and diverse across different modalities,
understanding and utilizing various data types to improve retrieval systems is a key focus of …

Registering images to a building information model is an effective approach of associating
as-built component status to as-designed information. However, registering a single still …

Search Anything is presented, a novel approach to perform similarity search in images. In
contrast to other approaches to image similarity search, Search Anything enables users to …

Sketch-based query formulation is very common in image and video retrieval as these
techniques often complement textual retrieval methods that are based on either manual or …

This paper studies visual search using structured queries. The structure is in the form of a 2D
composition that encodes the position and the category of the objects. The transformation of …