Relevance feedback (RF) is an iterative process, which refines the retrievals by utilizing the user's feedback on previously retrieved results. Traditional RF techniques solel...
Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...
Growing numbers of pervasive devices are gaining access to the Internet. However, much of the existing rich multimedia content cannot be handled by mobile client devices with limi...
Geographic Information Systems (GIS) are increasingly managing very large sets of data and hence a centralized data repository may not always provide the most scalable solution. H...
We participated in one task of TRECVID 2008, that is, the high-level feature extraction (HLFE). This paper presents our approaches and results on the HLFE task. We mainly focus on...
Yuxin Peng, Zhiguo Yang, Jian Yi, Lei Cao, Hao Li,...
Recent proliferation of computing devices has brought attention to heterogeneous collaborative systems, where key challenges arise from the resource limitations and disparities. S...