Abstract
With the great development of multimedia technology and applications, it becomes important to provide a thorough understanding of the existing literature. This aim can be achieved by analysis of state of the art methodologies of multimedia applications. Wavelet transforms have been found very useful in a large variety of multimedia applications. It ranges from simple imaging to complex computer vision applications. One of the major advantages of the wavelet transform is that it meets the need of majority of applications and can be combined with machine and deep learning for performance enhancement. These applications include image fusion, image and video watermarking, object tracking, activity recognition, emotion recognition etc. This chapter aims to provide a brief introduction to the development of multimedia applications in the wavelet domain. Some major multimedia applications of the wavelet transforms have been discussed with their relevance and real life applications.
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