There's a wealth of possiblities in the realm of personalized multimedia.Personalizing multimedia content, however, is an extensive process that involves extracting and modeling semantic and structural information about the content as well as metadata; building user profiles either manually or automatically through direct obersvation of user behavior; retrieving and filtering content through the user profiles; and adapting the filtered content to fit usage conditions and user preferences.This is a time-consuming and laborious process, and researchers adopt various approaches to achieve this.However, regardless of which route they follow, the end goal is a more satisfying and personalized experience for the user.This special issue offers a collection of techniques and applications for multimedia content modeling and personalization.The rest of this article introduces the field of content modeling and personalization. Content modelingMost researchers agree that these are the basic ingredients of a content model (not in order of importance or modeling):❚ objects depicted in the media stream and their visible and known properties, ❚ spatial relationships between those objects, ❚ video segments or clusters that depict the events involving one or more of these objects, and ❚ the temporal order between those segments or clusters.
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Marios C. Angelides (2003) studied this question.
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