Multimedia Processing Essentials

Part of the Springer Series on Cultural Computing book series (SSCC)


As multimedia applications have become part of our life, preservation and long-term access to the multimedia elements that are continuously produced is a major consideration, both for many organizations that generate or collect and need to maintain digital content, and for individuals. In this chapter, we focus primarily on the following multimedia analysis and organization techniques that provide the basis for multimedia preservation: (a) photo/video annotation, which refers to the problem of assigning one or more semantic concepts to photos or video fragments, (b) photo/video quality assessment, which refers to the automatic prediction of a photo’s or video’s aesthetic value, (c) near-duplicate detection, which aims to identify groups of very similar items in large media collections, and (d) event-based photo clustering and summarization, which concern the selection of the most characteristic photos of a photo collection so as to create a storyline that conveys the gist of this collection.


Near-duplicate Detection Photo Collections Aesthetic Quality Assessment Pretrained DCNN Event-based Clustering 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Information Technologies Institute (ITI)/Centre for Research and Technology Hellas (CERTH)Thermi-ThessalonikiGreece
  2. 2.Queen Mary University of LondonLondonUK

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