Shot Boundary Determination on MPEG Compressed Domain and Story Segmentation Experiments for TRECVID 2004
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چکیده
1. Briefly, what approach or combination of approaches did you test in each of your submitted runs? 1_kddi_ss_base1_5: “Baseline” method based on SVM, which discriminates shots that contain story boundaries. 1_kddi_ss_c+k1_4: Baseline + section-specialized segmentation (SS-S). 1_kddi_ss_all1_3: Baseline + SS-S + anchor shot segmentation (ASS) based on audio classification results 1_kddi_ss_all1_pfil_1: Baseline + SS-S + ASS and post-filtering (PF) based on audio classification results 1_kddi_ss_all2_pfil_2: Extended baseline + SS-S + ASS + PF based on audio classification results. 1_kddi_ss_all1nsp07_pfil_6: Baseline + SS-S + ASS + PF by HMM-based non-speech detection. 1_kddi_ss_all2nsp07_pfil_7: Extended baseline + SSS + ASS + PF by HMM-based non-speech detection. 2_kddi_ss2_all1_pfil_8: Baseline + SS-S + ASS and PF based on "speech segment" information from LIMSI ASR results[1]. 2_kddi_ss2_all2_pfil_9: Extended baseline + SS-S + ASS and PF based on "speech segment" information from LIMSI ASR results. 3_kddi_ss3_10: Naive TextTiling based story segmentation based on LIMSI ASR data.
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Shot Boundary Determination on MPEG Compressed Domain and Story Segmentation Experiments for TRECVID 2003
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