Visual matching is a crucial step in image retrieval based on the bag-of-words (BoW) model.
In the baseline method, two keypoints are considered as a matching pair if their SIFT …

Large-scale image search has been attracting lots of attention from both academic and
commercial fields. The conventional bag-of-visual-words (BoVW) model with inverted index …

Tourism Destination: Design of Experiences | Emerald Insight Books and journals Case
studies Expert Briefings Open Access Publish with us Advanced search Tourism Destination …

The inverse document frequency (IDF) is prevalently utilized in the bag-of-words-based
image retrieval application. The basic idea is to assign less weight to terms with high …

Finding images matching a user's intention has been largely based on matching a
representation of the user's information needs with an existing collection of images. For …

This paper aims to develop an image recommendation system to support informal
vocabulary learning for a context-aware learning environment called SCROLL (System for …

With the development of image search technology, users are no longer satisfied with
searching for images using just metadata and textual descriptions. Instead, more search …

During the past few years, the Bag-of-Words (BoW) model based on SIFT features has been
one of the most adopted approaches by the Content-Based Image Retrieval (CBIR) systems …

Interpreting human language entered a new era with the current prevalence of machine
learning techniques. The field of natural language processing (NLP) concerns the …

Exploratory search is emerging as a new form of information-seeking activity in the research
community, which generally combines browsing and searching content together to help …