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Title of Journal: Multimed Tools Appl

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Abbravation: Multimedia Tools and Applications

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Springer US

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DOI

10.1007/bf01349581

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ISSN

1573-7721

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Editorial Semantic Media Adaptation and Personali

Authors: Marios C Angelides Phivos Mylonas Manolis Wallace
Publish Date: 2008/11/01
Volume: 41, Issue: 3, Pages: 333-336
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Abstract

It is becoming harder to access manage and transmit multimedia content according to the meaning it embodies As textbased search engines give way to content and contextaware engines which not only personalize searching and delivery but also the content format advanced network infrastructures are emerging that are capable of endtoend ubiquitous transmission of multimedia content to any device fixed or mobile on any network wired or wireless at any time This has opened up new markets for content and service providers who recognizing the value of individual users are investing in technologies that adapt and personalize content In response organizations have released new standards such as MPEG7 MPEG21 and VC1 which enable propagation of content adaptation and personalization Consequently a broad range of applications are emerging across many industry sectors including music film games television and sports to name but a fewPersonalizing and adapting content to the preferences and needs of users requires processing of content on the one hand and recognizing patterns in users’ behavior on the other The former involves stages such as extraction and analysis of content semantics and structure modeling of the resulting content metadata filtering of content metadata through user profiles and adaptation of the content to suit the usage environment ie the user the client the network and the natural environment or the usage environment to suit the content The latter requires construction of user models that record usage history and user preferences for types of content browser and interface modalities in order to tailor content to cater for these preferences and to predict future usage behavior without stereotyping the user too muchPersonalizing and adapting the semantic content of multimedia enables applications to make justintime intelligent decisions regarding this content which in turn makes interaction with the multimedia content an individual and individually rewarding experienceThe Semantic Media Adaptation and Personalization SMAP Initiative was founded during the summer of 2006 in an effort to bring together researchers and practitioners working in this area in order to discuss the state of the art recent advances and future outlooks for semantic media adaptation The First International Workshop on Semantic Media Adaptation and Personalization SMAP 2006 held in December 2006 in Athens Greece was the first SMAP meeting It outgrew all initial expectations and thus had to be extended from a 1day to a 2day event The Second International Workshop on Semantic Media Adaptation and Personalization SMAP 2007 was held in December 2007 in London UK and experienced similar growth which resulted in the event having to be held over 3 days and the inclusion of a doctoral consortium As a result of the overwhelming and continuing interest and support for the first two SMAP events SMAP has become an annual event with the third installment of the workshop taking place in December 2008 in Prague Czech RepublicThis special issue comprises extended versions of five papers which were originally presented at SMAP 2007 and which have successfully made it through at least three additional rounds of reviews The selection process was particularly tough because a very high number of quality contributions presented during SMAP 2007 were up for consideration We have made no effort to select papers of matching content but rather papers that are representative of the work presented at the Workshop and which promote understanding of the wider problems and issues which are pursued by researchers and practitioners working in the field While some papers of truly high quality had to be omitted from this special issue they and other deserving papers are being published in an edited volume by CRC Press entitled Semantic Media Adaptation and Personalisation Volume 2Spyrou et al of the National Technical University of Athens in Greece propose a video analyzer which extracts colour and texture from coarse regions of each frame to predict images and then constructs a visual thesaurus which comprises clusters of these regions with local information A vector constructed for each frame is then used to select key frames for Latent Semantic AnalysisAgius and Angelides of Brunel University in the UK argue that the range of contentrelevant preferences that may be expressed using the MPEG7 user interaction tools is very limited in comparison to the wider range of metadata that may be represented using the MPEG7 content tools while at the same time the user preference and history metadata within the MPEG7 user interaction tools can greatly complement these specific content preferences Consequently they propose a set of bridges over this “contentuser gap” supported by isomorphic user and content metadataLópezNores et al of the University of Vigo in Spain argue that hosting personalization engines on dedicated servers is not useful in broadcasting because it is impossible for the hosting server to know its broadcast users In contrast the authors propose hosting a semantic reasoning process in DTV receivers whose content is collated according to user stereotypesKaiser and Hausenblas of Joanneum Research and Umgeher of Graz University of Technology in Austria argue that most web tools for authoring and managing interactive nonlinear audio–visual content and their metadata according to user preferences assume a certain degree of human intervention that renders them nondynamic In response the authors propose a web system which dynamically and continuously updates its content and metadata with very limited human intervention according to domainspecific user preferencesAsteriadis et al of the National Technical University of Athens in Greece argue that collecting user feedback indirectly in elearning environments by asking the users for example may not be as reliable as we once thought In response they propose a mechanism which collects user feedback directly by observing user head eye and hand movements through a web camera

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  6. Content-based search in multilingual audiovisual documents using the International Phonetic Alphabet
  7. Open media service architecture for advanced collaboration environments
  8. Editorial: Semantic Media Adaptation and Personalization
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  15. Implementing situation-aware and user-adaptive music recommendation service in semantic web and real-time multimedia computing environment
  16. Unsupervised digital movie restoration with spatial models of color
  17. An efficient segmentation method using saliency object detection
  18. IoT as a applications: cloud-based building management systems for the internet of things
  19. An improved block size selection method based on macroblock movement characteristic
  20. Categorization for grouping associative items using data mining in item-based collaborative filtering
  21. Directional texture transfer for video
  22. Multimedia cloud transmission and storage system based on internet of things
  23. Steganography integrated into linear predictive coding for low bit-rate speech codec
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  25. An evaluation of image based steganography methods
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  27. A hybrid hierarchical framework for classification of breast density using digitized film screen mammograms
  28. Action recognition using lie algebrized gaussians over dense local spatio-temporal features
  29. Action recognition using lie algebrized gaussians over dense local spatio-temporal features
  30. DCAF: An MPEG-21 Dynamic Content Adaptation Framework
  31. An innovative image encryption scheme based on chaotic map and Vigenère scheme
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  41. Anomaly detection in compressed H.264/AVC video
  42. A novel multiple-level secret image sharing scheme
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  60. Fast source camera identification using matching signs between query and reference fingerprints
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  70. A secured robust watermarking scheme based on majority voting concept for rightful ownership assertion
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  72. Adaptive image data hiding using transformation and error replacement
  73. An effective head pose estimation approach using Lie Algebrized Gaussians based face representation
  74. A speech content authentication algorithm based on a novel watermarking method
  75. Application of a generalized difference expansion based reversible audio data hiding algorithm
  76. Positioning corners of human mouth based on local gradient operator
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  79. Video streaming over the internet with optimal bandwidth resource allocation
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