We describe an approach to object retrieval which searches for and localizes all the
occurrences of an object in a video, given a query image of the object. The object is …

This article introduces a novel representation for three-dimensional (3D) objects in terms of
local affine-invariant descriptors of their images and the spatial relationships between the …

This paper focuses on the matching of local features between images. Given a set of query
descriptors and a database of candidate descriptors, the goal is to decide which ones …

This paper presents a novel framework for matching video sequences using the
spatiotemporal segmentation of videos. Instead of using appearance features for region …

This paper develops an in-depth treatment concerning the problem of approximating the
Gaussian smoothing and the Gaussian derivative computations in scale-space theory for …

We describe an approach to generalize the concept of text-based search to nontextual
information. In particular, we elaborate on the possibilities of retrieving objects or scenes in a …

We describe a method for automatically obtaining object representations suitable for
retrieval from generic video shots. The object representation consists of an association of …

This paper introduces a new algorithm for recognizing surgical tasks in real-time in a video
stream. The goal is to communicate information to the surgeon in due time during a video …

We present a novel method for modeling dynamic visual phenomena, which consists of two
key aspects. First, the integral motion of constituent elements in a dynamic scene is captured …

This paper presents an innovative method for motion segmentation in RGB-D dynamic
videos with multiple moving objects. The focus is on finding static, small or slow moving …