In this paper, we propose an efficient way to simultaneously label and map targets over a multi-camera surveillance system. In the system, we first fuse the detection results from...
Image summarization is to determine a smaller but faithful representation of the original visual content. In this paper, we propose a context saliency based image summarization ap...
Liang Shi, Jinqiao Wang, Lei Xu, Hanqing Lu, Chang...
In this paper, we propose a novel face hallucination method to reconstruct a high-resolution face image from a lowresolution observation based on a set of high- and lowresolution ...
In this paper, we present a novel approach for human activities recognition in the video. We analyze human activities in the sequential frames because human activities can be cons...
The explosive growth of photos/videos and the advent of mediasharing services have drastically increased the volume of usercontributed multimedia resources, which bring profound s...
Nearest Neighbor (NN) retrieval is a crucial tool of many computer vision tasks. Since the brute-force naive search is too time consuming for most applications, several tailored d...
Although mobile devices are rich sources of context information, the distribution of context in mobile environments is often hindered by the limited battery life, and wireless con...
Timo Koskela, Janne Lahti, Jani Pellikka, Sari J&a...
This paper seeks to unravel whether commonly available social tagged images can be exploited as a training resource for concept-based video search. Since social tags are known to ...
In this paper we present a text-independent automatic speaker verification system that works in the compressed domain using GSM AMR coded speech. While traditional approaches proc...
Matteo Petracca, Antonio Servetti, Juan Carlos De ...
This paper presents the results of an empirical study suggesting that, while laughter is a very good indicator of amusement, the kind of laughter (unvoiced laughter vs.voiced laug...