Abstract
The usefulness of a video database relies on whether the video of interest can be easily located. To allow exploring, browsing, and retrieving videos according to their visual content, efficient techniques for evaluating the visual similarity between different video clips are necessary. We present a framework for measuring video similarity across different resolutions - both spatial and temporal. In particular, the video clips to be compared can be properly aligned through the use of suitable weighting functions and alignment constraints. Dynamic programming techniques are employed to obtain the video similarity measure with a reasonable computational cost. An application to searching MPEG compressed video by example is presented to demonstrate the potential use of the proposed video similarity measure.
| Original language | English (US) |
|---|---|
| Title of host publication | IEEE International Conference on Image Processing |
| Publisher | IEEE |
| Pages | 106-110 |
| Number of pages | 5 |
| Volume | 2 |
| State | Published - Dec 1 1999 |
| Event | International Conference on Image Processing (ICIP'99) - Kobe, Jpn Duration: Oct 24 1999 → Oct 28 1999 |
Other
| Other | International Conference on Image Processing (ICIP'99) |
|---|---|
| City | Kobe, Jpn |
| Period | 10/24/99 → 10/28/99 |
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition
- Hardware and Architecture
- Electrical and Electronic Engineering