کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
533455 | 870118 | 2012 | 8 صفحه PDF | دانلود رایگان |

In this paper, we present a simple, yet very efficient global image representation for scene recognition. A scene image is represented by a histogram of local transforms, which is an extended version of census transform histogram. The local transforms include local difference sign and magnitude information. Due to strong constraints between neighboring transformed values, global structure information can be captured through the histogram and spatial pyramid representation. Principal component analysis is used to reduce the dimensionality and get a compact feature vector. Experimental results on three widely used datasets demonstrate that the proposed method could achieve competitive performance in terms of speed and accuracy.
► A global image representation was proposed for scene recognition.
► It could achieve competitive performance in terms of classification accuracy.
► It is very simple and could be computed very fast.
Journal: Pattern Recognition - Volume 45, Issue 1, January 2012, Pages 373–380