A growing number of sensors on smart mobile devices has led to rapid development of
various mobile applications using location-based or context-aware services. Typically …

With recent advances in CBIR, mobile visual location recognition becomes feasible. Using
video recordings of a mobile device as a visual fingerprint of the environment and matching …

This paper presents a novel rate control framework for H. 264/Advanced Video Coding-
based video coding that improves the preservation of gradient-based features like scale …

Existing mobile visual location recognition (MVLR) applications typically rely on bag-of-
features (BOF) representation, which shows superior performance in retrieval accuracy …

Distinctive visual cues are of central importance for image retrieval applications, in
particular, in the context of visual location recognition. While in indoor environments typically …

The current state of the research in landmark recognition highlights the good accuracy which
can be achieved by embedding techniques, such as Fisher vector and VLAD. All these …

With physical mobile interaction techniques, digital devices can make use of real-world
objects in order to interact with them. In this paper, we evaluate and compare state-of-the-art …

Abstract “Where was this image taken?” is an intriguing question that has been posed in the
literature and is of interest for many applications, from localization of smartphone images to …

The increasing popularity of smartphones has significantly changed the way we live. Today's
powerful mobile systems provide us with all kinds of convenient services. Thanks to the wide …

Retrieving the location of a mobile device by matching a query image to a database of geo-
tagged imagery is one popular application of content-based image retrieval (CBIR) …