Content-based image retrieval tutorial
It serves as an introductory guide for individuals new to information retrieval, offering incremental educational content without novel research contributions.
This tutorial introduces fundamental image retrieval techniques, specifically k-nearest neighbors and support vector machines, to help beginners understand both theoretical and practical aspects, including providing MATLAB software for hands-on experience.
This paper functions as a tutorial for individuals interested to enter the field of information retrieval but wouldn't know where to begin from. It describes two fundamental yet efficient image retrieval techniques, the first being k - nearest neighbors (knn) and the second support vector machines(svm). The goal is to provide the reader with both the theoretical and practical aspects in order to acquire a better understanding. Along with this tutorial we have also developed the equivalent software1 using the MATLAB environment in order to illustrate the techniques, so that the reader can have a hands-on experience.