Joint temporal segmentation and classification of user activities in egocentric videos
Number of patents in Portfolio can not be more than 2000
United States of America Patent
Stats
-
Nov 28, 2017
Issued Date -
N/A
app pub date -
Jul 7, 2016
filing date -
Jul 7, 2016
priority date (Note) -
In Force
status (Latency Note)
Importance
Abstract
Embodiments disclose methods, systems and non-transitory computer readable medium for joint temporal segmentation and classification of user activities in an egocentric video. The method includes extracting low-level features from a live dataset based on predefined feature categories; determining at least one activity change frame from the egocentric video frames based on the extracted features; dividing the live dataset into partitions based on the activity change frame, each partition begins with a candidate frame; computing a recursive cost function at the candidate frame of each partition based on dynamic programming; determining a beginning time instant of the candidate frame based on the computation; segmenting the live dataset into multiple segments based on the determined time instant; identifying at least one activity segment that corresponds a user activity using a trained activity model based on multiple instance learning approach; and simultaneously associating a predefined activity label with the identified activity segment.
First Claim
Family
International Classification(s)
Cited Art Landscape
Patent Citation Ranking
Recipient Email Address
Recipient Email Address
Comment
Recipient Email Address
Add to Portfolio(s)
To add this patent to one, or more, of your portfolios, simply click the add button.
This Patent is in these Portfolios:
Add to additional portfolios:
Last Refreshed On:
Changes done successfully