Compressed video action recognition with refined motion vectors
Although CNN has reached satisfactory performance in image-related tasks, using CNN to process videos is much more challenging due to the enormous size of raw video streams. In this Final Year Project, we propose to use motion vectors and residuals from modern video compression techniques to effecti...
Saved in:
Main Author: | Yu, Shining |
---|---|
Other Authors: | Jiang Xudong |
Format: | Final Year Project |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/78259 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Scene change detection using motion vectors and dc components of prediction residual in H.264 compressed videos
by: Lin, Zhiping, et al.
Published: (2013) -
Efficient motion estimation for video compression
by: Jayapal Ramya
Published: (2010) -
Efficient motion estimation for video compression
by: Ramanujam Prasanna
Published: (2008) -
Multiple human action recognition from video streams
by: Koh, Khai Huat
Published: (2014) -
A Ulam's game for video based action recognition
by: Zheng, Haofeng
Published: (2022)