By Raphael Troncy, Benoit Huet, Simon Schenk

ISBN-10: 0470747005

ISBN-13: 9780470747001

During this booklet, the authors current the newest examine ends up in the multimedia and semantic internet groups, bridging the "Semantic Gap"
This e-book explains, collects and stories at the most recent study effects that target at narrowing the so-called multimedia "Semantic Gap": the big disparity among descriptions of multimedia content material that may be computed instantly, and the richness and subjectivity of semantics in consumer queries and human interpretations of audiovisual media. Addressing the grand problem posed by means of the "Semantic Gap" calls for a multi-disciplinary technique (computer technological know-how, computing device imaginative and prescient and sign processing, cognitive technology, internet technology, etc.) and this can be mirrored in fresh learn during this sector. furthermore, the e-book goals an interdisciplinary neighborhood, and particularly the Multimedia and the Semantic internet groups. ultimately, the authors offer either the elemental wisdom and the most recent cutting-edge effects from either groups with the objective of creating the data of 1 group to be had to the other.

Key Features:

Presents state-of-the paintings examine leads to multimedia semantics: multimedia research, metadata criteria and multimedia wisdom illustration, semantic interplay with multimedia
Contains genuine commercial difficulties exemplified via consumer case scenarios
Offers an perception into numerous standardisation our bodies together with W3C, IPTC and ISO MPEG
Contains contributions from educational and commercial groups from Europe, united states and Asia
Includes an accompanying web site containing consumer instances, datasets, and software program pointed out within the booklet, in addition to hyperlinks to the K-Space NoE and the clever society sites

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Extra resources for Multimedia Semantics: Metadata, Analysis and Interaction

Example text

There are several issues at hand, such as (automatic) metadata extraction vs. (manual) annotation7 of multimedia resources. 8 However, linked data seem to us to be a more promising and effective approach. As we have discussed in (Hausenblas and Halb 2008; Hausenblas et al. org/2005/Incubator/mmsem/XGR-image-annotation/ for the photo case. org/ Use Case Scenarios 19 linking seem to be one of the next big steps in creating a Web-scale, open and smart multimedia ecosystem on the Web. Acknowledgements The authors would like to thank Erik Mannens for providing input and material that helped shape this chapter.

2007) and content annotation in interactive TV production (Neuschmied et al. 2007). Segmentation and structuring. g. stories, shots, sub-shots) is a crucial step in documentation as further annotation will be in the context of these segments. The structure should be visualized as a tree and on the timeline and it needs to be editable in both visualizations. Annotation on every segment. Any kind of annotation should be possible on arbitrary segments. This seems obvious for descriptive metadata (content synopsis, named entities) but also applies to production metadata as this might also be different for news stories.

There are obvious practices connected to digital photos such as downloading, editing, organizing, and browsing. But also we observe the practice of combining photos into collages, creating physical products such as T-shirts, mugs or composing photo albums. This means that personal photos might have quite an interesting social life and undergo different processes and services that might be running on different platforms and on different sites. Here are some examples of these services and processes for photos (see also Chapter 3).

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Multimedia Semantics: Metadata, Analysis and Interaction by Raphael Troncy, Benoit Huet, Simon Schenk

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