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Semantic Multimedia Information Retrieval Based on Contextual Descriptions
Published on Jul 08, 20133622 Views
Semantic analysis and annotation of textual information with appropriate semantic entities is an essential task to enable content based search on the annotated data. For video resources textual inform
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Chapter list
Semantic Multimedia Information Retrieval Based on Contextual Descriptions00:00
Overview00:08
Motivation - Semantic Search on Videos00:49
Semantic Search on Videos00:50
Semantic Analysis on Video Metadata - 101:36
Semantic Analysis on Video Metadata - 201:44
Semantic Analysis on Video Metadata - 301:51
Semantic Analysis on Video Metadata - 402:08
Semantic Analysis on Video Metadata - 502:18
Semantic Analysis on Video Metadata - 602:26
Semantic Analysis on Video Metadata - 702:39
Challenges of Video Metadata - 103:30
Challenges of Video Metadata - 203:31
Challenges of Video Metadata - 304:16
Challenges of Video Metadata - 404:22
Challenges of Video Metadata - 504:50
Challenges of Video Metadata - 605:09
Contextual Model05:49
Disambiguation within a Context - 106:01
Disambiguation within a Context - 206:16
Disambiguation within a Context - 307:04
Contextual Descriptions - Approach07:21
Source Reliability - 107:52
Source Reliability - 208:14
Source Diversity - 108:55
Source Diversity - 209:14
Source Diversity - 309:27
Source Diversity - 409:36
Source Diversity - 509:42
Source Diversity - 609:45
Text Type - 109:59
Text Type - 210:40
Text Type - 310:57
Text Type - 411:04
Text Type - 511:14
Text Type - 611:23
Text Type - 711:26
Text Type - 811:44
Text Type - 911:55
Text Type - 1012:02
Text Type - 1112:32
Text Type - 1212:41
Class Cardinality - 112:47
Class Cardinality - 213:18
Class Cardinality - 313:22
Class Cardinality - 413:58
Confidence calculation - 114:33
Confidence calculation - 214:50
Confidence calculation - 314:56
Disambiguation process - 115:07
Disambiguation process - 215:09
Disambiguation process - 316:07
Evaluation16:39
Evaluation Data Set - 116:43
Evaluation Data Set - 217:40
Evaluation Data Set - 317:59
Evaluation Results - 118:23
Evaluation Results - 218:35
Evaluation Results - 318:41
Evaluation Results - 418:54
Evaluation Results - 519:08
Further Evaluation Findings - Dynamic Context Creation - 119:50
Further Evaluation Findings - Dynamic Context Creation - 220:25
Further Evaluation Findings - Context Boundaries21:17
Outlook22:16
Contributions22:18
Ongoing & Future Work23:12
Thank you for your attention!25:15