计算机科学 ›› 2014, Vol. 41 ›› Issue (10): 53-56.doi: 10.11896/j.issn.1002-137X.2014.10.012
郭延明,谢毓湘,老松杨,白亮
GUO Yan-ming,XIE Yu-xiang,LAO Song-yang and BAI Liang
摘要: 相似视频片段探测可以辅助网络视频检索、内容关联分析等方面的研究,具有重要的意义。重点研究了位置随机的相似视频片段的探测与定位问题,首先在视频结构化分析与关键帧提取的基础上,对不同视频进行相似关键帧探测。为保证探测的精度与效率,针对视频关键帧的特点,采用了FAST检测子和BRIEF描述子相结合的方法,利用关键帧的局部特征进行相似关键帧探测;其次提出了一种相似关键帧距离度量的方法,利用相似关键帧所在源视频的位置来构建相似关键帧距离矩阵,保留矩阵中距离较小的相似关键帧,将寻找相似视频片段的过程转化为寻找矩阵对应的连通图的过程。最后对算法进行了实验,结果表明,该方法可以有效地探测处于各个位置的相似视频片段。
[1] Chen L,Chua T S.A match and tiling approach to content-basedvideo retrieval[C]∥Int.Conf.on Multimedia and Expo.2001:417-420 [2] Kashino K,Kurozumi T,Murase H.A quick search method for audio and video signals based on histogram pruning[J].IEEE Transactions on Multimedia,2003,5(3):348-357 [3] Chiu C,Wang H.A novel video matching framework for copy detection[C]∥Proc.of the 21th IPPR Conference on Computer Vision,Graphics and Image Processing (CVGIP’2008).2008 [4] Myers C S,Rabiner L R.A comparative study of several dynamictime-warping algorithms for connected word recognition[J].The Bell System Technical Journal,1981,60(7):1389-1409 [5] 曹政,卢宝丰,朱明.一种快速相似视频检索方法[J].信息与控制,2010,39(5):635-639 [6] 陈秀新,贾克斌,邓智玭,等.一种新的鲁棒性视频复制检测算法[J].北京工业大学学报,2011,37(5):691-696 [7] Liu F,Dong D G,Miao X,et al.A fast video clip retrieval algorithm based on VA-File[C]∥Electronic Imaging 2004.International Society for Optics and Photonics,2003:167-176 [8] Chen T,Jiang S,Chu L,et al.Detection and location of near-duplicate video sub-clips by finding dense subgraphs[C]∥Procee-dings of the 19th ACM international conference on Multimedia.ACM,2011:1173-1176 [9] Lowe D G.Distinctive image features from scale-invariant keypoints[J].International journal of computer vision,2004,60(2):91-110 (下转第71页)(上接第56页) [10] Bay H,Tuytelaars T,Van Gool L.Surf:Speeded up robust features[M].Computer Vision-ECCV 2006.Springer Berlin Heidelberg,2006:404-417 [11] Rosten E,Drummond T.Machine learning for high-speed corner detection[M]∥Computer Vision-ECCV 2006.Springer Berlin Heidelberg,2006:430-443 [12] Calonder M,Lepetit V,Strecha C,et al.BRIEF:binary robustindependent elementary features[M]∥Computer Vision-ECCV 2010.Springer Berlin Heidelberg,2010:778-792 [13] Leutenegger S,Chli M,Siegwart R Y.BRISK:Binary robust invariant scalable keypoints[C]∥2011 IEEE International Conference on Computer Vision (ICCV).IEEE,2011:2548-2555 [14] Rublee E,Rabaud V,Konolige K,et al.ORB:an efficient alternative to SIFT or SURF[C]∥2011 IEEE International Confe-rence on Computer Vision (ICCV).IEEE,2011:2564-2571 [15] Quinlan J R.Induction of decision trees[J].Machine learning,1986,1(1):81-106 [16] 邓黎,王春鸿,饶长辉.基于二进制稳健独立基元特征的扩展目标快速检测[J].中国激光,2012,39(B06):327-331 [17] 郭莉莎,等.基于多尺度FAST-9的图像快速匹配算法[J].计算机工程,2012,38(12) [18] http://www.ee.columbia.edu/ln/dvmm/researchProjects/Fea-tureExtraction/NearDuplicateByParts/INDDetection.html,2004 [19] Tan H K,Ngo C W,Chua T S.Efficient mining of multiple partial near-duplicate alignments by temporal network[J].IEEE Transactions on Circuits and Systems for Video Technology,2010,20(11):1486-1498 |
No related articles found! |
|