| W10-2310 | used , no speaker intona - tion , | video analysis | , or metadata is employed . The |
| P06-2097 | identification . In the field of | video analysis | , there have been a number of |
| W00-1707 | -LSB- Kurohashi 94 -RSB- . In | video analysis | , the same problems occurred |
| W00-1709 | because of the failure of automatic | video analysis | . Our approach to video summarization |
| W00-1707 | generally regarded as a basic unit in | video analysis | . In this study , however , not |
| W06-3404 | expertise in speech recognition , in | video analysis | , etc. . We define expertise |
| W12-0504 | creating a multimedia repository for | video analysis | , retrieval and summarisation |
| W00-1707 | number of studies have been made on | video analysis | , especially segmentation , feature |
| W00-1709 | summarization ) . Second , some | video analysis | techniques are applied to characterize |
| C02-1098 | described later . Second , some | video analysis | techniques are applied to characterization |
| C02-1098 | visual/auditory annotation method . The | video analysis | methods include automatic color |
| N07-2010 | ) is a well-studied problem in | video analysis | . We use the system of ( Bouthemy |
| W15-5121 | automatic detection of falls by the | video analysis | system . If the participant 's |
| W00-1709 | . Our techniques also use some | video analysis | methods such as automatic cut |
| W14-5202 | recognition 8 . DeMoLib , for | video analysis | ( http://staff.estem-uc.edu.au/roland/research/demolib-home/ |
| C02-1098 | voice transcription method , some | video analysis | methods , and an interactive |
| W03-0810 | natural language processing , | video analysis | , information retrieval , etc. |
| N04-4023 | processing applications . The audio and | video analysis | produced time-stamped metadata |
