MM
2015
ACM
8 years 7 months ago
2015
ACM
Feature representation for multimedia content is the key to the progress of many fundamental multimedia tasks. Although recent advances in deep feature learning offer a promising...
MM
2015
ACM
8 years 7 months ago
2015
ACM
Human action recognition from realistic videos plays a key role in multimedia event detection and understanding. In this paper, a novel Trajectory Based Covariance (TBC) descripto...
MM
2015
ACM
8 years 7 months ago
2015
ACM
Images in social networks share different destinies: some are going to become popular while others are going to be completely unnoticed. In this paper we propose to use visual se...
MM
2015
ACM
8 years 7 months ago
2015
ACM
MM
2015
ACM
8 years 7 months ago
2015
ACM
Deep learning has shown outstanding performance in various machine learning tasks. However, the deep complex model structure and massive training data make it expensive to train. ...
MM
2015
ACM
8 years 7 months ago
2015
ACM
Perception of multimedia quality is shaped by a rich interplay between system, context and human factors. While system and context factors are widely researched, few studies consi...
MM
2015
ACM
8 years 7 months ago
2015
ACM
Topic models such as Latent Dirichlet Allocation (LDA) [3] have been extensively used for characterizing text collections according to the topics discussed in documents. Organizin...
MM
2015
ACM
8 years 7 months ago
2015
ACM
The fifth Audio-Visual Emotion Challenge and workshop AVEC 2015 was held in conjunction ACM Multimedia’15. Like the previous editions of AVEC, the workshop/challenge addresses ...
MM
2015
ACM
8 years 7 months ago
2015
ACM
In recent years, deep networks have been successfully applied to model image concepts and achieved competitive performance on many data sets. In spite of impressive performance, t...
MM
2015
ACM
8 years 7 months ago
2015
ACM
New technologies arise in a number of ways. They may come from advances in scientific research, through new combinations of existing technologies, or by simply imagining what migh...