In almost every scientific field, measurements are performed over time. These observations
lead to a collection of organized data called time series. The purpose of time-series data …

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 …

Extending beyond the boundaries of science, art, and culture, content-based multimedia
information retrieval provides new paradigms and methods for searching through the myriad …

Time series are ubiquitous, and a measure to assess their similarity is a core part of many
computational systems. In particular, the similarity measure is the most essential ingredient …

This accessible textbook examines the basic technologies needed to support image
processing applications, including the characterization of continuous images, image …

The last decade has witnessed great interest in research on content-based image retrieval.
This has paved the way for a large number of new techniques and systems, and a growing …

In this paper, we present a shape retrieval method using triangle-area representation for
nonrigid shapes with closed contours. The representation utilizes the areas of the triangles …

We suggest a novel shape contour descriptor for shape matching and retrieval. The new
descriptor is called contour points distribution histogram (CPDH) which is based on the …

The dynamic time war** (DTW) is a popular similarity measure between time series. The
DTW fails to satisfy the triangle inequality and its computation requires quadratic time …

Abstract Dynamic Time War** (DTW) is probably the most popular distance measure for
time series data, because it captures flexible similarities under time distortions. However …