Digital image retrieval according to automated methods and technologies in web environment and databases

The number of audiovisual materials in the web environment is growing increasingly, hence the precision and recall of the retrieved results of these materials is of high importance. Because of the special features of digital audiovisual materials like clarity, color, density of pixels, quality of sound etc organization and classification of them in the web environment needs to use methods which considers these features other than just assigning subject identifiers (key words). Some of the new approaches to classification of audiovisual materials in web environments are: visualization, information retrieval by the type of data (one-dimensional, two-dimensional, hypertext, textual, etc.) latent semantic indexing, digital automatic classification, image and auditory material clustering. Using these methods can provide better organization of audio-visual materials for responding exactly to the needs of users in the web environment.