SM3 media metadata manager

SM3 is provided as a core with domain-specific modules supporting enterprise-level content management, social network (blogs, wikis etc.) integration with user-generated content, email, RSS newsfeeds, and other forms of structured and unstructured text.

The SM3 platform core provides a document analysis, multimedia annotation and cross-referencing capability; including deep-linking into multimedia frame and scene content and annotation with Geo- and time-stamping of frames, scenes and related entities. SM3 supports multiple media types and interfaces, including MPEG7/21.

The metadata extraction, annotation and cross-referencing using NLP, Search, and Ontology and concept extraction approaches enhance content value by identifying and exposing domain entities (persons, organisations, relationships, activity types etc.) for search indexing and analysis purposes.

SM3 provides a module to support intelligence analysis of documents and ELINT traffic with situational awareness support to link user queries to the appropriate multimedia and document content. This module provides concept analysis and supports the user-interface capability of the SemanticFusion platform.

For example, SM3 could cross-reference sensor logs, UAV video and audio commentaries, permitting queries by keyword, time, location etc.

Other modules can integrate with automated video and audio analysis systems, applying NLP and concept analysis cross-referencing against other sources to extend and improve annotations, improving search accuracy.

Description	Pertinent information
SM3 provides a multimedia and document metadata analysis and cross-referencing platform Provides the ability to analyse content domains (ELINT, News & Blog feeds, other forms of structured and unstructured text) using NLP and proprietary techniques including sentiment analysis, captured as metadata annotations. Describe, index and tag various forms of multimedia to the frame and scene level, captured as MPEG-7/21 annotations. Uses Semantic Web and NLP approaches to cross-reference textual and multimedia elements according to the key concepts and entities identified and captured as metadata. Can be integrated with a range of external information sources Can be integrated with automated video and audio analysis systems. A range of recommendation models are supported, including item-specific, category or key-concept, or any other specified combinations of metadata annotations	Semantrix specializes in development and support of Semantic Web and knowledge-based systems. Semantrix has significant research and commercial application development experience utilising Semantic Web technologies and approaches, agent-based systems, Natural Language Processing, rules engines, Neural Networks, 3-D and VR applications, and practical experience in artificial intelligence technology application areas. Semantrix has a wide range of industry and University associations with experience in Defence, Commercial, Government, Online Directories, Mining, Logistics, RFID, Retail and Commercial Agent based systems, analytical instrumentation, and telecommunications and multimedia applications and strategy development.
Status	Company
The SM3 platform is under development. Key elements of the platform have been developed to TRL Levels 3 & 4.	Team Australia - Semantrix Pty Ltd

Description

Pertinent information

SM3 provides a multimedia and document metadata analysis and cross-referencing platform

Provides the ability to analyse content domains (ELINT, News & Blog feeds, other forms of structured and unstructured text) using NLP and proprietary techniques including sentiment analysis, captured as metadata annotations.
Describe, index and tag various forms of multimedia to the frame and scene level, captured as MPEG-7/21 annotations.
Uses Semantic Web and NLP approaches to cross-reference textual and multimedia elements according to the key concepts and entities identified and captured as metadata.
Can be integrated with a range of external information sources
Can be integrated with automated video and audio analysis systems.
A range of recommendation models are supported, including item-specific, category or key-concept, or any other specified combinations of metadata annotations

Semantrix specializes in development and support of Semantic Web and knowledge-based systems.

Semantrix has significant research and commercial application development experience utilising Semantic Web technologies and approaches, agent-based systems, Natural Language Processing, rules engines, Neural Networks, 3-D and VR applications, and practical experience in artificial intelligence technology application areas.

Semantrix has a wide range of industry and University associations with experience in Defence, Commercial, Government, Online Directories, Mining, Logistics, RFID, Retail and Commercial Agent based systems, analytical instrumentation, and telecommunications and multimedia applications and strategy development.

Status

Company

The SM3 platform is under development. Key elements of the platform have been developed to TRL Levels 3 & 4.

Team Australia - Semantrix Pty Ltd