A novel contextual descriptors for category recognition
In this paper, we propose a novel contextual descriptor which combines the contextual information and local appearance. Based on Gibbs distribution, a local descriptor is designed. By assembling the contextual information and local descriptors, a new partial contextual descriptor (PCD) is finally presented. Combining pyramid match kernel (PMK) and SVM, we test our new descriptor and obtain higher average precision of classification than using local appearance descriptor.