CAJ | 학술논문

本文提出了一种基于H.264/AVC压缩域的COP(Group of Pictures)级视频场景转换检测算法.该算法利用H.264/AVC基本档次码流中的帧内预测模式、运动矢量和宏块编码类型等可用信息,提出了基于子块的色度模式差异、累积运动值和累积帧内宏块数等三个判决准则,然后综合利用这三个判决准则,提出了一种COP级的视频场景转换检测算法.实验结果表明,与现有的一个COP级场景检测算法对比,本文提出的COP级视频场景转换检测算法可以获得更好的检测性能.
본문제출료일충기우H.264/AVC압축역적COP(Group of Pictures)급시빈장경전환검측산법.해산법이용H.264/AVC기본당차마류중적정내예측모식、운동시량화굉괴편마류형등가용신식,제출료기우자괴적색도모식차이、루적운동치화루적정내굉괴수등삼개판결준칙,연후종합이용저삼개판결준칙,제출료일충COP급적시빈장경전환검측산법.실험결과표명,여현유적일개COP급장경검측산법대비,본문제출적COP급시빈장경전환검측산법가이획득경호적검측성능.
A GOP level video scene change detection algorithm in H.264/AVC baseline profile compression domain is pro-posed. The algorithm is based on intra prediction modes, motion vectors and macroblock coding types which can be extracted from H.264/AVC baseline bitstream. Three new criteria, the difference of chroma prediction modes based on sub-block, the accumulative motion amount and the accumulative intra coding macroblock amount, are proposed. Experimental results show that compared withanother typical GOP Jevel method, the proposed algorithm can achieve better performance.