With the explosive growth of the World Wide Web, the public is gaining access to massive
amounts of information. However, locating needed and relevant information remains a …

We present an image retrieval system for the interactive search of photo collections using
free-hand sketches depicting shape. We describe Gradient Field HOG (GF-HOG); an …

In many areas of commerce, government, academia, and hospitals, large collections of
digital images are being created. Many of these collections are the product of digitizing …

The need for content-based access to image and video information from media archives has
captured the attention of researchers in recent years. Research efforts have led to the …

We present an efficient representation for sketch based image retrieval (SBIR) derived from
a triplet loss convolutional neural network (CNN). We treat SBIR as a cross-domain …

Content-based image retrieval (CBIR), which is aimed to search images from a large size
image database based on visual contents of images in an efficient and accurate way as per …

We propose and evaluate several deep network architectures for measuring the similarity
between sketches and photographs, within the context of the sketch based image retrieval …

Traditional image retrieval systems match the input image by searching the whole database
repeatedly for various image features. Intermediate results produced for these features are …

In this chapter, we present an overview on the theory, techniques and applications of content-
based image retrieval. We choose patterns of use, image domains and computation as the …

The amount of audiovisual information available in digital format has grown exponentially in
recent years. Gigabytes of new images, audio and video clips are generated and stored …