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Flexible media management and publishing
           Alexandru Stan (as@in-two.com), George Ioannidis (gi@in-two.com)
                      IN2 search interfaces development Ltd, UK

Abstract                                            Challenges from creative                            Admin Components
This poster showcases state-of-the-art              professionals                                       Monitor and manage processing pipelines in
                                                                                                        real-time and distribute the computing load
research results on flexible media management
and publishing tools. The service is based on a     ▪Flexible solutions;                                to different machines.
service-oriented architecture which, through        ▪Meaningful and fast annotation tools;
its distributed architecture, serves to reduce      ▪Semi-automatic systems allowing the editing
integration costs and provide better scalability.    of automatically inserted annotations;
At the core of the system resides a powerful
                                                    ▪Manage collections from one place;
media-processing framework which does not
only consider the individual media modalities       ▪Make publishing collections easy;
but also fuses the results of each processor,       ▪Provide search beyond text and metadata;
effectively enabling powerful multimodal            ▪Minimise costs;
analysis, topic detection and tracking which
                                                    ▪Make it web-based.
provide for richer and better annotation of the
multimedia content. The interface layer
                                                                                                        Multimedia handling
exposes a number of tools for semi-automatic                                                            Automatic multimedia
time-based annotation and semantic-aware            ON:meedi:a                                          workflows are constructed
search. Content aggregation and smooth                                                                  from user definable
multimedia interaction is enabled by a              Move away from the traditional monolithic           processing pipelines.
publishing environment that exploits                solution and build systems based on Service
repository content by the authoring of flexible      Oriented Architectures:                             Example of
user interfaces, whereby each interface                ▪ Build workflows by chaining pipelines           pipeline chaining:
element can be fully configured regarding its           ▪ Make everything run in a web browser
layout, the data element it represents, and the
                                                    For better content-based analysis, make use of
functionality it provides.
                                                    multimodal fusion of extracted descriptors.
                                                    Build a CMS-like authoring environment to
                           info@in-two.com          publish collections directly from the repository,
                           @in2_tweet               with full flexibility in terms of layouts and data
                           http://in-two.com        objects used.
Video                                                                                                            Audio
Visual content analysis is performed on two levels: syntactic                                                     ▪Audio Segmentation (audio
(low-level features, e.g. colour of the pixels, texture, and motion)                                               segmentation, audio classification,
and semantic (object or event detection from combining low                                                         speaker identification);
and mid-level features). Low-level features used: MPEG-7 (SCD,                                                    ▪Audio Language Identification Media
CLD, EHD), video segment, dominant HSV colour, dominant                                                            Processor (EN, DE, ES, PT);
scene motion, camera motion. Semantic annotation of images                                                        ▪Audio Transcription Media Processor
and videos is performed using a set of concept detectors that                                                      using automatic speech recognition.
have been trained for specific concepts and that can be trained
by end users, according to their needs and video domains.
Concept detectors selection based on performance and
                                                                                                                 Conclusion
flexibility.                                                                                                      The R&D work shows new possibilities for:
                                                                                                                 ▪Customised, configurable and flexible
Semantic analysis is independent from syntactic analysis and
                                                                                                                   media processing, analysing thanks to a
thus the services can be executed in parallel to exploit the
                                                                                                                   service-oriented backend;
distributed SOA architecture.
                                                                                                                 ▪Web-based multi-user annotation of
Web-based interfaces that exposes rich functionality:                                                              media segments with free text, keywords
 ▪ Multi-user support with different provider-defined                                                               and by using formalised knowledge;
 access levels (reflecting the actors involved);                                                                  ▪Fast and easy publishing of media
 ▪ Automatic semantic annotation with support for                                                                  collections on the web; always synced
 user-validation of generated annotations;                                                                         with the repository backend;
 ▪ Ontology-powered backend that also can handle                                                                 ▪Multiple presentation views on content
 keywords and free text annotations;                                                                               collections.
 ▪ Support for geo-metadata.

Searching and Browsing                                      Authoring and Publishing                                                 Contact:
                                                                                                                                     Alexandru Stan, Programme Manager
                                                                                                                                     IN2 search interfaces development Ltd
Perform complex queries using different query               User friendly interface which enables content                            as@in-two.com
modalities (free text, semantic concepts using              holders to import a media collection, extend its                         @in2_tweet | http://in-two.com

Boolean and temporal relations and query by                 characteristics and publish elaborate workflow
visual example).                                            patterns in order to to enrich, search and view
                                                            the contents of a collection.
Query results videos streaming from the time-
code when the search criteria was found.                                                                                    the ecosystem where media lives
                                                                                                                 info@onmeedia.com | @onmeedia | http://onmeedia.com
                                                                                                               Acknowledgement: The ON:meedi:a ecosystem is a further development of the
                                                                                                               IM3I project and its demonstration and deployment is co-financed by the IM3I+
                                                                                                               project. The research leading to these results has received funding from the
                                                                                                               European Union's FP7 Seventh Framework Programme managed by REA -
                                                                                                               Research Executive Agency, under grant agreement No 222267 (IM3I) and No
                                                                                                               286838 (IM3I+).
                                                                                                               RTD work on multimedia fusion and audio analysis and the research leading to
                                                                                                               these results has received funding from the European Union’s Seventh
                                                                                                               Framework Programme managed by REA-Research Executive Agency
                                                                                                               (FP7/2007-2013) under grant agreement no 262428 (euTV)

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IBC Futurezone 2012 - ON:meedi:a presents flexible media management and publishing

  • 1. Flexible media management and publishing Alexandru Stan (as@in-two.com), George Ioannidis (gi@in-two.com) IN2 search interfaces development Ltd, UK Abstract Challenges from creative Admin Components This poster showcases state-of-the-art professionals Monitor and manage processing pipelines in real-time and distribute the computing load research results on flexible media management and publishing tools. The service is based on a ▪Flexible solutions; to different machines. service-oriented architecture which, through ▪Meaningful and fast annotation tools; its distributed architecture, serves to reduce ▪Semi-automatic systems allowing the editing integration costs and provide better scalability. of automatically inserted annotations; At the core of the system resides a powerful ▪Manage collections from one place; media-processing framework which does not only consider the individual media modalities ▪Make publishing collections easy; but also fuses the results of each processor, ▪Provide search beyond text and metadata; effectively enabling powerful multimodal ▪Minimise costs; analysis, topic detection and tracking which ▪Make it web-based. provide for richer and better annotation of the multimedia content. The interface layer Multimedia handling exposes a number of tools for semi-automatic Automatic multimedia time-based annotation and semantic-aware ON:meedi:a workflows are constructed search. Content aggregation and smooth from user definable multimedia interaction is enabled by a Move away from the traditional monolithic processing pipelines. publishing environment that exploits solution and build systems based on Service repository content by the authoring of flexible Oriented Architectures: Example of user interfaces, whereby each interface ▪ Build workflows by chaining pipelines pipeline chaining: element can be fully configured regarding its ▪ Make everything run in a web browser layout, the data element it represents, and the For better content-based analysis, make use of functionality it provides. multimodal fusion of extracted descriptors. Build a CMS-like authoring environment to info@in-two.com publish collections directly from the repository, @in2_tweet with full flexibility in terms of layouts and data http://in-two.com objects used.
  • 2. Video Audio Visual content analysis is performed on two levels: syntactic ▪Audio Segmentation (audio (low-level features, e.g. colour of the pixels, texture, and motion) segmentation, audio classification, and semantic (object or event detection from combining low speaker identification); and mid-level features). Low-level features used: MPEG-7 (SCD, ▪Audio Language Identification Media CLD, EHD), video segment, dominant HSV colour, dominant Processor (EN, DE, ES, PT); scene motion, camera motion. Semantic annotation of images ▪Audio Transcription Media Processor and videos is performed using a set of concept detectors that using automatic speech recognition. have been trained for specific concepts and that can be trained by end users, according to their needs and video domains. Concept detectors selection based on performance and Conclusion flexibility. The R&D work shows new possibilities for: ▪Customised, configurable and flexible Semantic analysis is independent from syntactic analysis and media processing, analysing thanks to a thus the services can be executed in parallel to exploit the service-oriented backend; distributed SOA architecture. ▪Web-based multi-user annotation of Web-based interfaces that exposes rich functionality: media segments with free text, keywords ▪ Multi-user support with different provider-defined and by using formalised knowledge; access levels (reflecting the actors involved); ▪Fast and easy publishing of media ▪ Automatic semantic annotation with support for collections on the web; always synced user-validation of generated annotations; with the repository backend; ▪ Ontology-powered backend that also can handle ▪Multiple presentation views on content keywords and free text annotations; collections. ▪ Support for geo-metadata. Searching and Browsing Authoring and Publishing Contact: Alexandru Stan, Programme Manager IN2 search interfaces development Ltd Perform complex queries using different query User friendly interface which enables content as@in-two.com modalities (free text, semantic concepts using holders to import a media collection, extend its @in2_tweet | http://in-two.com Boolean and temporal relations and query by characteristics and publish elaborate workflow visual example). patterns in order to to enrich, search and view the contents of a collection. Query results videos streaming from the time- code when the search criteria was found. the ecosystem where media lives info@onmeedia.com | @onmeedia | http://onmeedia.com Acknowledgement: The ON:meedi:a ecosystem is a further development of the IM3I project and its demonstration and deployment is co-financed by the IM3I+ project. The research leading to these results has received funding from the European Union's FP7 Seventh Framework Programme managed by REA - Research Executive Agency, under grant agreement No 222267 (IM3I) and No 286838 (IM3I+). RTD work on multimedia fusion and audio analysis and the research leading to these results has received funding from the European Union’s Seventh Framework Programme managed by REA-Research Executive Agency (FP7/2007-2013) under grant agreement no 262428 (euTV)