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A framework to evaluate fusion methods for multimodal emotion recognition
Multimodal methods for emotion recognition consider several sources of data to predict
emotions; thus, a fusion method is needed to aggregate the individual results. In the …
emotions; thus, a fusion method is needed to aggregate the individual results. In the …
Comprehensive feature-based robust video fingerprinting using tensor model
Content-based near-duplicate video detection (NDVD) is essential for effective search and
retrieval, and robust video fingerprinting is a good solution for NDVD. Most existing video …
retrieval, and robust video fingerprinting is a good solution for NDVD. Most existing video …
Beyond caption to narrative: Video captioning with multiple sentences
Recent advances in image captioning task have led to increasing interests in video
captioning task. However, most works on video captioning are focused on generating single …
captioning task. However, most works on video captioning are focused on generating single …
Inductive Gaussian representation of user-specific information for personalized stress-level prediction
The accurate prediction of stress in a person's life has a significant effect on improving
personal health and the national economy. Since individuals have different historical …
personal health and the national economy. Since individuals have different historical …
Two-layer video fingerprinting strategy for near-duplicate video detection
Due to the importance of visual similarity for near-duplicate video detection, visual features
are the primary features for video fingerprint generation. However, the mutual assistance …
are the primary features for video fingerprint generation. However, the mutual assistance …
Visual action recognition using deep learning in video surveillance systems
The skeleton tracking technique allows the usage of the skeleton information of human-like
objects for action recognition. The major challenge in action recognition in a video …
objects for action recognition. The major challenge in action recognition in a video …
Towards temporal adaptive representation for video action recognition
Action recognition has been one of the challenging problems in the computer vision
community. Most of the recent research work in this area exploits the motion features …
community. Most of the recent research work in this area exploits the motion features …
A 203 FPS VLSI architecture of improved dense trajectories for real-time human action recognition
This paper introduces architecture with high throughput, low on-chip memory, and efficient
data access for Improved Dense Trajectories (iDT) as video representations for realtime …
data access for Improved Dense Trajectories (iDT) as video representations for realtime …
Information fusion for action recognition with deeply optimised hough transform paradigm
Automatic human action recognition is a challenging and largely explored domain. In this
work, we focus on action segmentation with Hough Transform paradigm and more precisely …
work, we focus on action segmentation with Hough Transform paradigm and more precisely …