We have developed and evaluated three generalized systems for event detection. The first system is a simple brute force search method, where each space-time location in the video ...
Mert Dikmen, Huazhong Ning, Dennis J. Lin, Liangli...
This is a high level computer vision paper, which employs concepts from Natural Language Understanding in solving the video retrieval problem. Our main contribution is the utiliza...
This paper proposes a general framework called Markov stationary features (MSF) to extend histogram based features. The MSF characterizes the spatial co-occurrence of histogram pa...
Conventional approaches to video annotation predominantly focus on supervised identification of a limited set of concepts, while unsupervised annotation with infinite vocabulary...
Emily Moxley, Tao Mei, Xian-Sheng Hua, Wei-Ying Ma...
Semantic understanding of multimedia content has become a very popular research topic in recent years. Semantic concept detection algorithms face many challenges such as the seman...
Lin Lin, Guy Ravitz, Mei-Ling Shyu, Shu-Ching Chen