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ATMOS  based content retrival library.   The  Concloud  project
Preface Content retrival and media indexing systems  developing has become a bit of cultwords in the  last  years. Today we can observe a number of attempts to create some retrival systems, presented as web services, database buildups etc. That can't make us to stand that content retrival problem  remains largely unsolved. We hope, we have been heading for right trend to solve some problems while on developing  Concloud  poject.
Let's combine the trends Cloud computing is an extensive conception in data manipulation for today. It is rather intenseand convinient solution both for storaging andcomputing.  Drawing in of cloud computing by some big internet commerce market participant, such as Amazon has shown already opulance of such technology. EMC  ATMOS  provides all the preferences of cloud computing. Here we have: convinient api, simple system of metadata based retrival and classification, high level of reliability and safety .
Let's combine the trends What would it be alike, if we base our content retrival system on ATMOS? Will we gain some perfection?     Firstly, we will chalange many problems with simple data manipulation due to convinient metadata managment. Its simple, it have good performance, its safety. Secondly, we will add more universality in our content retrival. For example: henceforth we are able to build retrival either on machine content indexing or on manual tagging each madia object.
What would it look like? ,[object Object],[object Object],[object Object]
Where can I use it right now Ok, if you are developing something for domains  that sounds like: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Where can I use it right now ,[object Object],[object Object],[object Object],[object Object]
Where can I use it right now While the advantages of usage of content retrival in projects like remote sensing systems, photograph archieves and social networking is rather evidental, the usage of it in web commerce and Intellectual property can involve some new ideas, that you can observe in other parts of our presentation. See part applications.
How does it look like? ,[object Object],[object Object],For today we present you a library that provides interface capable to upload picture to ATMOS and retrive images by passing sample picture passed by user. Our system  then returns all pictures visually and even cognotively similar to samle.  Here we have some requirements our algorithm satisfy:
How does it look like? ,[object Object],[object Object],[object Object],[object Object]
What we are expecting to develop? ,[object Object],[object Object],[object Object]

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Concloud

  • 1. ATMOS based content retrival library. The Concloud project
  • 2. Preface Content retrival and media indexing systems developing has become a bit of cultwords in the last years. Today we can observe a number of attempts to create some retrival systems, presented as web services, database buildups etc. That can't make us to stand that content retrival problem remains largely unsolved. We hope, we have been heading for right trend to solve some problems while on developing Concloud poject.
  • 3. Let's combine the trends Cloud computing is an extensive conception in data manipulation for today. It is rather intenseand convinient solution both for storaging andcomputing. Drawing in of cloud computing by some big internet commerce market participant, such as Amazon has shown already opulance of such technology. EMC ATMOS provides all the preferences of cloud computing. Here we have: convinient api, simple system of metadata based retrival and classification, high level of reliability and safety .
  • 4. Let's combine the trends What would it be alike, if we base our content retrival system on ATMOS? Will we gain some perfection? Firstly, we will chalange many problems with simple data manipulation due to convinient metadata managment. Its simple, it have good performance, its safety. Secondly, we will add more universality in our content retrival. For example: henceforth we are able to build retrival either on machine content indexing or on manual tagging each madia object.
  • 5.
  • 6.
  • 7.
  • 8. Where can I use it right now While the advantages of usage of content retrival in projects like remote sensing systems, photograph archieves and social networking is rather evidental, the usage of it in web commerce and Intellectual property can involve some new ideas, that you can observe in other parts of our presentation. See part applications.
  • 9.
  • 10.
  • 11.