Research Article

Video Retrieval System for Meniscal Surgery to Improve Health Care Services

Table 1

Comparison of proposed methodology with existing ones.

Reference papersFeature setFeature descriptorSimilarity/cluster/classification measurementDatasetResearch domainVideo type

Droueche et al. [18]A motion vector, residual informationKalman filter, generalized Gaussian distributionExtension of fast dynamic time warping (EFDTW)69 video-recorded retinal surgery steps, 1400 video-recorded cataract surgery, and 1707 movie clips with classified human actionsEye surgeryMPEG-4 AVC/H.264
Ramya et al. [4]Global featuresEntropy, histogram, frequencyNeural network15478 XML scripts based on key framesMedical videosmp4
Schoeffmann et al. [5]Position, colour, textureN/AEarth mover’s distance, signature quadratic form distance, and signature matching distance25 stored video files per procedureLaparoscopic surgeryN/A
Beecks et al. [6]Spatial information (colour, coarseness, contrast value)Local feature descriptor-mean cluster25 segment videos per procedure, resulting in total 1276 short video clips ranging from 60 sec to 250 secEndoscopic videosN/A
Carlos et al. [7]Local and global features, feature fusionSIMPLE, CEDD, SURF-mean1276Endoscopy videosN/A
Charriere et al. [8]N/ABoVW-nearest neighbour (KNN), motion histogram, and hidden Markov model30Cataract surgeryDV format
Muhammad et al. [9]Colour opponent colour space (CoC), curvature map, textureN/AN/A10HysteroscopyN/A
Quellec et al. [10]Texture, colour, optical flowN/AN/A23 retinal, 100 cataract surgery, 69 hollywood movieEye surgeryMPEG 2
Droueche et al. [18]Motion histogramFast dynamic time warping-mean, Kalman filter, and extended of fast dynamic time warping23 epiretinal surgery videoEpiretinal membrane surgeryMPEG-4 AVC/H.264
ProposedThe key point, colourSIFT, HOG, DT, CFD, PCA-SIFT, spatiotemporal feature vectorGMM, Euclidean distance, and Kullback-Leibler divergence20 meniscus surgeryMeniscus surgeryFlv, Avi, mp4