Abstract. This paper presents an automatic approach to mining collections of maps from the Web. Our method harvests images from the Web and then classifies them as maps or non-map...
Color matching in Content-Based Image Retrieval is done using a color space and measuring distances between colors. Such an approach yields nonintuitive results for the user. We i...
Egon L. van den Broek, Theo E. Schouten, P. M. F. ...
Dublin City University (DCU) and University of Tampere (UTA) participated in the ImageCLEF 2007 photographic ad-hoc retrieval task with several monolingual and bilingual runs. Our...
Popular content in video sharing web sites (e.g., YouTube) is usually duplicated. Most scholars define near-duplicate video clips (NDVC) based on non-semantic features (e.g., di...
Mauro Cherubini, Rodrigo de Oliveira, Nuria Oliver
Recent research effort in Content-Based Image Retrieval (CBIR) focuses on bridging the gap between low-level features and highlevel semantic contents of images as this gap has bec...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...