We have witnessed great interest and a wealth of promise in content-based image retrieval
as an emerging technology. While the last decade laid foundation to such promise, it also …

Recent text-to-image diffusion models such as MidJourney and Stable Diffusion threaten to
displace many in the professional artist community. In particular, models can learn to mimic …

The exponential growth of digital data in cloud storage systems is a critical issue presently
as a large amount of duplicate data in the storage systems exerts an extra load on it …

To detect illegal copies of copyrighted images, recent copy detection methods mostly rely on
the bag-of-visual-words (BOW) model, in which local features are quantized into visual …

This paper introduces a product quantization-based approach for approximate nearest
neighbor search. The idea is to decompose the space into a Cartesian product of low …

A new data structure for efficient similarity search in very large datasets of high-dimensional
vectors is introduced. This structure called the inverted multi-index generalizes the inverted …

Protection of confidential data from being leaked to the public is a growing concern among
organisations and individuals. Traditionally, confidentiality of data has been preserved using …

This chapter provides an accessible introduction for point processes, and especially Hawkes
processes, for modeling discrete, inter-dependent events over continuous time. We start by …

This paper proposes two novel image similarity measures for fast indexing via locality
sensitive hashing. The similarity measures are applied and evaluated in the context of near …

Because of the relative ease in understanding and processing text, commercial image-
search systems often rely on techniques that are largely indistinguishable from text search …