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Organization and access of image data by areas
1MEMBER, IEEE, Computer Science Department, University of California at Los Angeles, Los Angeles, CA 90024.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 27, 2011
Summary
This study introduces a novel method for indexing twodimensional array data, enhancing storage access and retrieval efficiency for rasterscan image data. The NUMERIC function improves recall performance by sorting area lists, optimizing data management.
Area of Science:
- Computer Science
- Data Structures
- Image Processing
Background:
- Efficient indexing and retrieval of spatial data are crucial in computer science.
- Raster scan image data presents unique challenges for storage and access.
- Existing methods may lack efficiency in handling subpicture areas.
Purpose of the Study:
- To present a method for naming subpictures from raster scan image data.
- To develop equations for converting subpicture names to storage-location pointers.
- To design algorithms for efficient retrieval of subpicture areas from various file types.
Main Methods:
- A notation system for naming subpictures.
- Development of the NUMERIC function for aiding storage access.
- Algorithms for sequential and direct access file retrieval.
- Implementation using tree data structures.
- Discussion of an overlapping picture subareas storage scheme.
Main Results:
- The proposed method eases subsequent storage access for raster scan image data.
- The NUMERIC function demonstrates improved retrieval response when sorting area lists.
- Efficient algorithms are presented for retrieving subpicture areas.
Conclusions:
- The presented techniques offer improved methods for indexing and retrieving areas in twodimensional array data.
- The NUMERIC function is effective in optimizing data recall.
- The study contributes to efficient data management strategies in computer science.
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