关键词: 接缝雕刻, 梯度方向直方图, 支持向量机

Abstract: Target-detective content amplification method can make different attentions to the content of photograph, and meanwhile maintain the integrity of the image. When detecting the target region, in the image operating process, it can maintain the regional content consistency, and make the content of the region have obvious amplifying effect. It uses the detection algorithm based on the Histograms of Oriented Gradients（HOG） to extract image characteristics information in multi-scale space, puts the HOG descriptor into linear Support Vector Machine（SVM） which as a classifier for recognition, uses the non-maximum suppression algorithm to fuse these bounding boxes to get the best bounding box of the target object, then uses weights function（M）to change the energy of each pixel in the area of bounding box, removes some seams which have less correlation with the surrounding area, lets the regional content reach more reasonable amplification effect.

Key words: seam carving, histograms of oriented gradients, support vector machine