Purpose – The purpose of this research is to describe the development of an indexing template to guide the indexing of images using keywords. The template is designed to be used for indexing the image collection held at The Children’s Society. Design/methodology/approach – A facet matrix based on analysis of existing studies was used to identify the most popular user query facets from user stud...

techniques for content-based queries in images databases. Indexing is the key to providing sophisticated, accurate and fast searches for queries in image data. This research describes a new indexing approach, which depends on linear modeling of signals, using bases for modeling. A basis is a set of chosen images, and modeling an image is a least-squares approximation of the image as a linear co...

Indexing local features with a vocabulary tree and indexing holistic features by compact hashing codes are two successful but separated lines of research. Both of the two indexing models are suited for specific features and are limited to certain scenarios like partial-duplicate search and similar image search, respectively. To conquer such limitations, we propose a novel hybrid-indexing strate...

We introduce a new method for colour image indexing and content-based image retrieval. An image is divided into small sub-images and the visual appearance of which is characterised by a coloured pattern appearance model. The statistics of the local visual appearance of the image are then computed as measures of the global visual appearance of the image. The visual appearance of the small sub-im...

This study explores the terms assigned by users to index, manage, and describe images and compares them to indexing terms derived automatically by systems for image retrieval. Results of this study indicate that userderived indexing vocabulary largely reflects what users see in the image or what they perceive as the overall topic of an image. This is in contrast to system-derived indexing where...