We align all views to one reference image and construct a 2D scene map by preserving details from all images while discarding repeating visual features. Our ...

State of the art data mining and image retrieval in community photo collections typically focus on popular subsets, e.g. images containing landmarks or ...

Oct 29, 2010 · We align all views to one reference image and construct a. 2D scene map by preserving details from all images while discarding repeating visual ...

We propose an image clustering scheme that, seen as vector quantization, compresses a large corpus of images by grouping visually consistent ones.

Retrieving Landmark and Non-Landmark Images from Community Photo Collections. Yannis Avrithis, Yannis Kalantidis, Giorgos Tolias and Evaggelos Spyrou. Image ...

In this paper, we evaluate the whole process of constructing landmark recognition engines from Internet photo collections. To do this in a realistic large-scale ...

Conditional Image Retrieval (CIR) · A Survey on Mobile Landmark Recognition ... Retrieving Landmark and Non-Landmark Images from Community Photo Collections.

We introduce the Google Landmarks Dataset v2 (GLDv2), a new benchmark for large-scale, fine-grained instance recognition and image retrieval in the domain of.

Landmark classification in large-scale image collections · Yunpeng LiDavid J ... Retrieving landmark and non-landmark images from community photo collections.