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Table 5. Compression ratios (CRatio) and key frames statistic results of the algorithms on the sixvideo sequences. KFPerShot indicates the average number of key frames for each shot, whilenUsedShots and FrPerShots indicate the number of type A shots and the average number of framesper shot respectively.eeopen CRatio KeyFrames KFPerShot nTotShots nUsedShots FrPerShotCP 0.980 25 1.136 24 22 53.500FR 0.980 25 1.136 24 22 53.500ATS 0.980 25 1.136 24 22 53.500SRDI 0.980 25 1.136 24 22 53.500PME 0.971 36 1.636 24 22 53.500MP 0.982 22 1.000 24 22 53.500nwanw1 CRatio KeyFrames KFPerShot nTotShots nUsedShots FrPerShotCP 0.991 61 1.743 39 35 168.256FR 0.991 61 1.743 39 35 168.256ATS 0.991 61 1.743 39 35 168.256SRDI 0.991 61 1.743 39 35 168.256PME 0.990 66 1.886 39 35 168.256MP 0.995 35 1.000 39 35 168.256news CRatio KeyFrames KFPerShot nTotShots nUsedShots FrPerShotCP 0.993 35 2.917 12 12 397.083FR 0.993 35 2.917 12 12 397.083ATS 0.993 35 2.917 12 12 397.083SRDI 0.993 35 2.917 12 12 397.083PME 0.994 28 2.333 12 12 397.083MP 0.997 12 1.000 12 12 397.083football CRatio KeyFrames KFPerShot nTotShots nUsedShots FrPerShotCP 0.988 82 2.929 28 28 239.286FR 0.988 82 2.929 28 28 239.286ATS 0.988 82 2.929 28 28 239.286SRDI 0.988 82 2.929 28 28 239.286PME 0.992 55 1.964 28 28 239.286MP 0.996 28 1.000 28 28 239.286bugsbunny CRatio KeyFrames KFPerShot nTotShots nUsedShots FrPerShotCP 0.993 95 1.145 89 83 151.551FR 0.993 95 1.145 89 83 151.551ATS 0.993 95 1.145 89 83 151.551SRDI 0.993 95 1.145 89 83 151.551PME 0.986 182 2.193 89 83 151.551MP 0.994 83 1.000 89 83 151.551basketball2 CRatio KeyFrames KFPerShot nTotShots nUsedShots FrPerShotCP 0.983 15 15.000 1 1 894.000FR 0.983 15 15.000 1 1 894.000ATS 0.983 15 15.000 1 1 894.000SRDI 0.983 15 15.000 1 1 894.000PME 0.993 6 6.000 1 1 894.000MP 0.999 1 1.000 1 1 894.00022
Table 6. Fidelity measure results computed using the histogram (HST) and the HWD descriptors.The minimum (mi) and standard deviation (sd) of the Fidelity measures computed on each shot arealso reported.eeopen Fid. HST Fid. HST (mi) Fid. HST (sd) Fid. HWD Fid. HWD (mi) Fid. HWD (sd)CP 0.762 0.069 0.228 0.907 0.217 0.185FR 0.760 0.072 0.232 0.906 0.184 0.191ATS 0.756 0.016 0.236 0.885 0.123 0.235SRDI 0.761 0.077 0.236 0.899 0.298 0.184PME 0.763 0.072 0.228 0.892 0.133 0.213MP 0.770 0.069 0.207 0.901 0.184 0.203nwanw1 Fid. HST Fid. HST (mi) Fid. HST (sd) Fid. HWD Fid. HWD (mi) Fid. HWD (sd)CP 0.642 0.013 0.325 0.778 0.192 0.310FR 0.631 0.014 0.339 0.758 0.110 0.345ATS 0.645 0.014 0.323 0.783 0.113 0.308SRDI 0.619 0.046 0.343 0.762 0.035 0.313PME 0.620 0.017 0.334 0.745 0.199 0.352MP 0.613 0.007 0.354 0.733 0.015 0.371news Fid. HST Fid. HST (mi) Fid. HST (sd) Fid. HWD Fid. HWD (mi) Fid. HWD (sd)CP 0.607 0.166 0.258 0.860 0.662 0.125FR 0.614 0.167 0.250 0.870 0.656 0.117ATS 0.612 0.194 0.248 0.872 0.671 0.115SRDI 0.578 0.142 0.278 0.851 0.656 0.129PME 0.600 0.139 0.275 0.851 0.648 0.137MP 0.584 0.074 0.283 0.836 0.588 0.158football Fid. HST Fid. HST (mi) Fid. HST (sd) Fid. HWD Fid. HWD (mi) Fid. HWD (sd)CP 0.627 0.293 0.208 0.858 0.512 0.133FR 0.627 0.354 0.202 0.842 0.377 0.154ATS 0.642 0.331 0.196 0.858 0.537 0.133SRDI 0.611 0.268 0.214 0.840 0.447 0.147PME 0.612 0.254 0.213 0.825 0.431 0.167MP 0.601 0.243 0.233 0.834 0.183 0.185bugsbunny Fid. HST Fid. HST (mi) Fid. HST (sd) Fid. HWD Fid. HWD (mi) Fid. HWD (sd)CP 0.656 0.052 0.239 0.907 0.118 0.148FR 0.656 0.052 0.239 0.904 0.118 0.150ATS 0.665 0.065 0.226 0.906 0.141 0.141SRDI 0.647 0.024 0.245 0.904 0.283 0.134PME 0.678 0.004 0.232 0.910 0.351 0.126MP 0.650 0.052 0.247 0.901 0.118 0.152basketball2 Fid. HST Fid. HST (mi) Fid. HST (sd) Fid. HWD Fid. HWD (mi) Fid. HWD (sd)CP 0.093 0.093 0.000 0.556 0.556 0.000FR 0.094 0.094 0.000 0.528 0.528 0.000ATS 0.064 0.064 0.000 0.528 0.528 0.000SRDI 0.081 0.081 0.000 0.552 0.552 0.000PME 0.075 0.075 0.000 0.533 0.533 0.000MP 0.031 0.031 0.000 0.407 0.407 0.00023
Page 1 and 2: AN INNOVATIVE ALGORITHM FOR KEYFRAM
Page 3 and 4: Section 2 of this paper presents se
Page 5 and 6: into the summarization algorithm to
Page 7 and 8: ... ... S tF(t) F(t+1)F(t+n) F(t+γ
Page 9 and 10: histogram. The threshold has been h
Page 11 and 12: the first pass the algorithm detect
Page 13 and 14: Fig. 7. An example of key frame sel
Page 15 and 16: energy feature, the magnitudes of t
Page 17 and 18: was available we also selected the
Page 19 and 20: 6.2 Computational TimeTable 4 shows
Page 21: performance of the SRDI algorithm e
Page 25 and 26: eeopenFidelityHSTFidelityHWDSRDHSTS
Page 27 and 28: AcknowledgementsThe video indexing

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