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Company

ClusterMedia Labs

Street
Estr. Nacional 109, 197 2-E
ZIP Code
3810-140
City
Aveiro
Country
Portugal


Company Profile:
ClusterMedia Labs was incorporated in 2006 and has developed advanced semantic audio-visual analysis algorithms to automatically generate metadata from content, searchable in several categories, such as : speakers, program codes, commercials, keywords, musical genres. ClusterMedia Labs continues to enhance the cutting-edge speaker recognition for media asset management world , mobile operators, business intelligence, parliaments , and many other applications within the broadcast and media world convergence.
Profiltitel

LiveMeans Engine – semantic audio analysis and machine learning to drive automatic content indexing and personalization.

What we offer:
ClusterMedia Labs is pleased to introduce to the most recent advances in semantic audio-visual analysis to drive content personalization and content identification / indexing. Our technology identifies television and radio programming on the fly so that a smart segment could be up on web/mobile device minutes after it airs. Monitors any television or online radio in real-time, in a universe of thousands of available channels (streams).

Benefits:
- extract specific and important information
automatically, quickly and accurately.
- generate critical content descriptions and
establishing real reuse.
- search inside huge assets collections in a fast,
low cost and feasible manner.
- provide innovative services delivering real-time
business intelligence.

more info :
www.livemeans.com

What are we looking for:
We are looking for partner @ distribution / licensing.
Industry sector : Media , Comunication Agencies

Keywords:
  • ] radio
  • ] post production
  • ] broadband
  • ] consultancy & professional services


Collaboration sought:
  • commercial
  • technical consultancy
  • License Agreement


Responsible

ENG Vitor Soares

CTO
Profiltitel

PARTNER FOR EUROPEAN PROJECTS IN SEMANTIC AUDIOVISUAL SEARCH & RETRIEVAL

What we offer:
Audio-visual recognition algorithms from the conjunction of two large scientific areas: digital

processing of audio & video signals and machine learning. Content-based Analysis and

Automatic Indexing Engine Based Tools.

Advanced algorithms to automatically generate metadata from Live Broadcast 'Feeds', and

publish online digital media content searchable in the following categories:

- Speakers

- Program codes

- Commercials

- Jingles

- Singers

- Keywords

- Musical Genres

What are we looking for:
Partner for European Projects in Semantic Searc

Keywords:
  • ] radio
  • ] acquisition production
  • ] management & systems
  • ] post production
  • ] content management
  • ] video, music, games


Collaboration sought:
  • technical consultancy


Responsible

ENG Vitor Soares

CTO
Profiltitel

SOUNDSLIKE.ME ® ENGINE - CONTENT-BASED MUSIC DISCOVERY & RETRIEVAL ENGINE

What we offer:
The incorporation of this music acoustic similarity technology in mobile music services willintroduce users to new exciting usages like to find songs and/or artists (drag & search) easily

by way of acoustic similarity with recent material releases (novelty & relevance, improves current discovery & search tools in music recommendation services and mitigates obstacles

related to scalability, "cold-start" and one-sized selections and access to the long tail of
unclassified music collections like MySpace.

What are we looking for:
music recommendation systems

Keywords:
  • ] management & systems
  • ] broadband
  • ] metadata logging systems
  • ] archive & storage
  • ] content management
  • ] video, music, games


Collaboration sought:
  • commercial
  • licence
  • technical consultancy
  • License Agreement


Responsible

ENG Vitor Soares

CTO
Profiltitel

Music search and recommendation engine

What we offer:
Recommender systems are a specific type of information filtering technique that attempts to

present information (movies, music, books, news, images, web pages, etc.) that are likely of

interest to the user. Typically, a recommender system compares the user's profile to some

reference characteristics, and seeks to predict the 'rating' that a user would give to an item

they had not yet considered. These characteristics may be from the information item (the

content-based approach) or the user's social environment.

The incorporation of the music acoustic similarity technology in hybrid music recommendation

systems of mobile music services introduces users to new and exciting usages. Using this

system, a user can search songs that are similar to others like a web based search engine

displays search results that have somehow a degree of similarity between them. Therefore,

the users of the technology have an easy access to new experiences like music navigation

and audio browsing.

The developed system improves current discovery and search tools in music recommendation

services by reducing obstacles like scalability and one-sized selections. It also provides an

easy access to unclassified music collections like MySpace among others.

The technology can also be used in mobile or web-based marketing strategies as it can

recommend musics that are similar to the ones that the user had bought/heard.

This technology can be used by radios, music editors, online and mobile marketing

What are we looking for:
We are looking for different types of collaboration within the media industry

Keywords:
  • ] radio
  • ] management & systems
  • ] content creation
  • ] consultancy & professional services
  • ] content management
  • ] video, music, games


Collaboration sought:
  • commercial
  • licence
  • technical consultancy
  • License Agreement


Responsible

ENG Vitor Soares

CTO
Profiltitel

LiveXtend.TV

What we offer:
Platform for Internet Over-the-top TV Services

- geoblocking content
- combines linear programing with non-linear channels
- push technology to real-time messaging

What are we looking for:
- Web design Companys to partnerships

Keywords:
  • ] broadband


Collaboration sought:
  • commercial
  • licence
  • maintenance


Responsible

ENG Vitor Soares

CTO
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