Research on Image Region Classification
YuanLai Liao · Advanced science and technology letters · 2016
The method splits regional objects to numerous small image blocks, from which rough semantic concepts of regional objects are fetched; then, through the application of multi-instance learning idea and computation of type confidence degree of each rough semantic concept, the impacts of type errors on such concepts can be effectively eliminated, and thus feature semantic concepts of various regional object type are obtained.