Qualcomm Research and University of Amsterdam at TRECVID 2015: Recognizing Concepts, Objects, and Events in Video.
Cees G. M. SnoekSpencer CappalloDaniel FontijneDavid JulianDennis C. KoelmaPascal MettesKoen E. A. van de SandeAnthony SarahHarro StokmanR. Blythe TowalPublished in: TRECVID (2015)
Keyphrases
- event detection
- video data
- video retrieval
- tv news
- event recognition
- video search
- video clips
- multimedia objects
- video segments
- event models
- motion trajectories
- concept based video retrieval
- multimedia
- surveillance videos
- video event
- video analysis
- video content
- human activities
- semantic concept detection
- soccer video
- video indexing
- visual data
- video sequences
- video streams
- news video
- video segmentation
- video images
- trecvid multimedia event detection
- video event detection
- content based copy detection
- d objects
- shot boundary detection
- web videos
- video frames
- key frames
- activity recognition
- sports video
- semantic concepts
- dynamic scenes
- semantic indexing
- physical objects
- recognizing objects
- story segmentation
- concept detectors
- object motion
- video classification
- temporal relations
- video objects
- video database
- image search
- spatial relationships
- spatial relations
- temporal information
- space time
- multi modal
- moving objects
- image sequences