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Bài giảng Cơ sở dữ liệu đa phương tiện - Chương 1: Các khái niệm cơ bản MIRS Issues - Nguyễn Thị Oanh

Data model determines :
– How information is organized and stored
– What types of queries are supported
 Requirements: DM should be
– extensible, new data type can be added
– able to represent basic media type + temporal, spatial
relationships
– flexible so that items can be specified, queried, searched
at different levels of abstraction
– allow efficient storage and search 
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  1. Architecture  Main operations – Insert new item – Retrieval 2
  2. Data Model  Data model determines : – How information is organized and stored – What types of queries are supported  Requirements: DM should be – extensible, new data type can be added – able to represent basic media type + temporal, spatial relationships – flexible so that items can be specified, queried, searched at different levels of abstraction – allow efficient storage and search 4
  3. A General Multimedia Data Model 6
  4. Data Model: Example  VIMSYS (Visual Information Management System) Define events that can be queried User-defined entity: 1 concept (sunset ) or a physical entity (heart) Segmentation layer (temporal, spatial info, ) + Feature layer: histogram, texture Data + transformation (compression, color space conversion, image enhancement, 8
  5. User interface – Query support  Multimedia query: – Diverse – Fuzzy ==> tools: – Searching:  By keywords, parameters mapping problem: « red car »  By example need input tools: microphone, camera, – Browsing: start browsing with  A very large query  Based on the DB organization  Item randomly chosen – Query refinement: Feedback 10
  6. Feature extraction  Determine the retrieval effectiveness  Requirements: – complete as possible to represent the contents of the information items – represented and stored compactly – The computation of distance between features should be efficient, otherwise the system response time would be too long 12
  7. Indexing  1 Object ~ many features  1 feature ~ many parameters  Indexing in MIRSs should – be hierarchical and – take place at multiple levels.  Application classification  Different levels of features  spatial and temporal relationships between objects 14
  8. QoS (Quality-of-Service)  MMData requires: – High bandwidth – large storage space and high transfer rate – delay and jitter bound – and temporal and spatial synchronization key components: – hosts (including clients and servers) under the control of the operating system – the storage manager – the transport or communications system 16