Motion based video content indexing
Date of Issue2007
School of Computer Engineering
This thesis addresses the problem of content-based video indexing by motion. Our research works cover the 3 fundamental and challenging issues in content-based video indexing: video structure analysis, low-level feature index, high-level semantic description.
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision