MM
2015
ACM
8 years 6 days ago
2015
ACM
Hand-held objects play an important role in human-human and human-machine interaction. It can be used as a reference for understanding user intentions or user requirements. In thi...
MM
2015
ACM
8 years 6 days ago
2015
ACM
We present a framework for unsupervised detection of nonverbal behavioral cues—hand gestures, pose, body movements, etc.—from a collection of motion capture (MoCap) sequences ...
MM
2015
ACM
8 years 6 days ago
2015
ACM
During natural social gatherings, humans tend to organize themselves in the so-called free-standing conversational groups. In this context, robust head and body pose estimates can...
MM
2015
ACM
8 years 6 days ago
2015
ACM
We present joint estimation of F-formations and head, body pose of interactors in a social scene captured by surveillance cameras. Unlike prior works that have focused on (a) disc...
MM
2015
ACM
8 years 6 days ago
2015
ACM
Human physical activity recognition based on wearable sensors has applications relevant to our daily life such as healthcare. How to achieve high recognition accuracy with low com...
MM
2015
ACM
8 years 6 days ago
2015
ACM
Recently, deep learning techniques have enjoyed success in various multimedia applications, such as image classification and multimodal data analysis. Two key factors behind deep...
MM
2015
ACM
8 years 6 days ago
2015
ACM
Recent advances in free-viewpoint rendering techniques as well as the continued improvements of the internet network infrastructure open the door for challenging new applications....
MM
2015
ACM
8 years 6 days ago
2015
ACM
This paper addresses the problem of image features selection for pedestrian gender recognition. Hand-crafted features (such as HOG) are compared with learned features which are ob...
MM
2015
ACM
8 years 6 days ago
2015
ACM
Cinematic virtual reality provides an immersive visual experience by presenting omnidirectional videos of real-world scenes. A key challenge is to develop efficient representatio...
MM
2015
ACM
8 years 6 days ago
2015
ACM
This paper presents a novel search paradigm that uses multiple images as input to perform semantic search of images. While earlier focuses on using single or multiple query images...