310 search results - page 6 / 62 » MuFeSaC: Learning When to Use Which Feature Detector |
CLEF
2009
Springer
14 years 7 months ago
2009
Springer
A methodology is proposed to identify narrative peaks in video clips. Three basic clip properties are evaluated which reflect on video, audio and text related features in the clip....
96
Voted
ICIAR
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
109
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ICCV
2009
IEEE
16 years 12 days ago
2009
IEEE
We introduce a new class of image features, the Ray feature set, that consider image characteristics
at distant contour points, capturing information which is difficult to repre...
133
Voted
CVPR
2012
IEEE
13 years 20 hour ago
2012
IEEE
Human activity recognition has potential to impact a wide range of applications from surveillance to human computer interfaces to content based video retrieval. Recently, the rapi...
99
Voted
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
Many modern visual recognition algorithms incorporate a step of spatial `pooling', where the outputs of several nearby feature detectors are combined into a local or global `...