Latest Research News Detail
Semantic indexing system for video search using a data-driven ap
Summary
The volume of video data on the Internet increases rapidly each year, with the majority of the data being various kinds of low quality, consumer videos, without text tags. So there is strong demand for video search techniques based on the use of image and video features?so called “content-based video retrieval” (CBVR).Video semantic indexing systems extract videos with “concepts” that are meaningful for users without using any text information such as tags or meta-data from internet video data. The concepts include: objects such as cars and chairs, scenes such as sunsets and families having an enjoyable time, or events such as wedding ceremonies and fireworks.
The details of research
| Reference |
Koichi Shinoda
Graduate School of Information Science and Engineering Computer Science Professor |
|---|---|
| TEL | 03-5734-3480 |
| FAX | |
| URL |
- Ookayama Campus
- 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8550
- Suzukakedai Campus
- 4259 Nagatsuta-cho, Midori-ku, Yokohama, Kanagawa 226-8503
- Tamachi Campus
- 3-3-6 Shibaura, Minato-ku, Tokyo 108-0023
Copyright (C) Tokyo Institute of Technology. All rights reserved.