CAJ | 학술논문

场景中摄像机移动、对象运动、光亮突变等现象的存在导致现有镜头边界检测算法的顽健性不足，为了有效应对这些变化，提出一种基于ORB的镜头边界检测算法，算法通过计算图像帧之间ORB描述子的匹配程度进行镜头边界检测。在检测过程中使用特征点匹配数和匹配率对镜头边界的特点进行描述，并以相似度曲线描述图像帧之间的关系。实验结果表明，该算法可以有效解决上述问题造成的镜头误检、漏检，同时处理速度也获得了明显提升。
장경중섭상궤이동、대상운동、광량돌변등현상적존재도치현유경두변계검측산법적완건성불족，위료유효응대저사변화，제출일충기우ORB적경두변계검측산법，산법통과계산도상정지간ORB묘술자적필배정도진행경두변계검측。재검측과정중사용특정점필배수화필배솔대경두변계적특점진행묘술，병이상사도곡선묘술도상정지간적관계。실험결과표명，해산법가이유효해결상술문제조성적경두오검、루검，동시처리속도야획득료명현제승。
The existing algorithms of SBD show low robustness when there exist camera or object movements, light changes in the scene. An SBD algorithm based on ORB was proposed in order to effectively deal with these changes, in which shot boundary was located by computing the matching degree of ORB descriptor between adjacent images. In the detection process, the matching number and matching rate of the feature points were used to describe the characteristics of shot boundary, and the similarity degree curve was used to represent the relationship between image frames. Experi-ment results show that the proposed algorithm is effective to solve false and miss detection caused by the above problems, with a sharp rise in procession speed.