The document discusses ATMOS, a cloud-based content retrieval library. Some key points:
1) ATMOS provides the benefits of cloud computing like convenient APIs, simple metadata-based retrieval and classification, high reliability and security.
2) Using ATMOS as the basis for a content retrieval system could help solve problems with data manipulation and add more universality to retrieval, allowing both machine and manual indexing.
3) The library presented retrieves images that are visually or cognitively similar to a sample image provided by the user, ignoring weak image noises and prioritizing similar shapes and edges.
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.