Processing and Management of AV Content Using
Semantic Web Services and DRM Technologies
Embedded in TV Authoring Workflow

The main project idea is to combine two main technologically streams – semantic web and DRM resp. watermarking technology – to increase the description and interoperation ability of AV content objects for an optimised authoring in TV workflow environments,

The used DRM / watermarking approach is strongly “semantic content” - related, because it takes synergetic advantage by covering DRM (Digital Rights Management) as well as MD (Meta-Data) issues in one. The meta-data descriptions (textual scheme) of the AV content object as well as the ID specific information are stored via the watermark. Depending on the object appliance the stored information is partially (!) encrypted to preserve for example author rights or “history” data etc. This kind of meta-data approach allows a “rough” and fast retrieval of AV content objects.

The AV-content objects are furthermore enriched with semantics. This kind of semantically annotation especially allows covering interoperability and assignment (object relation) characteristics. The semantic web annotation will be applied to the objects themselves as well as to sets of objects referencing a specific domain (set of similar objects).

Semantic metadata will include metadata resulting from automated anthropocentric video analysis. More specifically these metadata will aim at describing AV objects in terms of ID, state, movement, actions of humans depicted in them. Tools for the automatic extraction of such descriptions will be developed. This kind of semantic annotation allows a precise retrieval and effective processing of AV content objects within a comprehensive authoring workflow. The metadata resulting from anthropocentric analysis will be also used for Digital Rights Management (DRM) perceptual hashing of AV-data.

The envisioned framework accepts as input professionally as well as user-generated media objects (see 1.1.1) and supports the creation of large content pools consisting of and structured as web service repositories. The investigation, research and application work of the current project will comprise a set of soft computing methods and Automatic Control techniques: Fuzzy Logic methods (Fuzzy Control), Fuzzy Description Logic and Inferencing, Approximate Reasoning techniques, methods exploiting Implicit Semantics and Automatic Control techniques like cascaded control loops (composed services) closed loop based fault detection.