… global localization approach based on a visual vocabulary. Object recognition and text retrieval
techniques … The coarse-to-fine strategy leads to fast and reliable global localization. The …

… Similarly, one can characterize an image by a global histogram of visual words … the visual
vocabulary. One of the main differences with our work is that in [32] the same visual vocabulary …

… of the use of the Visual Vocabulary to learn vocabulary among learners, the results of this
study have proven that the use of Visual Vocabulary is effective among the participants. The …

… , as they rely on global image features. In this paper, we present a method that discovers a
meaningful vocabulary from biomedical images. The proposed method is based on “tiles” of …

… We describe a method, SemanticSIFT, which takes account of local image semantic content
(such as grass and sky) in matching, and thereby eliminates many false matches. We show …

… the distributed vocabulary indexing scheme in a real world location search system over 10
… Second, we perform local feature quantization in parallel by duplicating visual vocabularies …

… Furthermore, vocabulary learning is one of the most … learnt English through traditional
methods has compounded the … of visual cues versus textual input-enhancement on vocabulary …

… We use a keypoint density-based weighting method to … In addition, we show that visual
vocabularies generated from … The four approaches consists of (1) global visual vocabulary …

… visual word based retrieval method is not satisfactory in real applications as the descriptive
ability of visual vocabulary … of the descriptive ability of visual vocabulary. There are mainly two …

… datasets with a relatively restricted vocabulary. To facilitate the development of more general
visual object detection, we propose V3Det, a vast vocabulary visual detection dataset with …