Abstract
We show how to compactly index video data to support fast motion detection queries. A query specifies a time interval T, a area A in the video and two thresholds v and p. The answer to a query is a list of timestamps in T where ≥ p% of A has changed by ≥ v values. Our results show that by building a small index, we can support queries with a speedup of two to three orders of magnitude compared to motion detection without an index. For high resolution video, the index size is about 20% of the compressed video size.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IEEE International Symposium on Multimedia (ISM2014) |
| Number of pages | 4 |
| Publisher | IEEE Press |
| Publication date | 2014 |
| Pages | 24-27 |
| ISBN (Print) | 978-0-7695-5437-2 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | IEEE International Symposium on Multimedia 2014 - The Splendor Hotel Taichung, Taichung, Taiwan, Province of China Duration: 10 Dec 2014 → 12 Dec 2014 Conference number: 10 http://ism2014.asia.edu.tw/index.html |
Conference
| Conference | IEEE International Symposium on Multimedia 2014 |
|---|---|
| Number | 10 |
| Location | The Splendor Hotel Taichung |
| Country/Territory | Taiwan, Province of China |
| City | Taichung |
| Period | 10/12/2014 → 12/12/2014 |
| Internet address |
Keywords
- Motion detection index
- Motion detection data structure
- Surveillance video
- Video analysis
- Data structure