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Semantic multimedia remixing
Published on Feb 10, 20141788 Views
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Chapter list
Semantic multimedia remixing: Deep-linking into Media Assets at the Fragment Level00:00
Outline00:10
Once upon a time …00:48
… leading to sharing Media Fragments02:09
W3C Video on the Web Workshop - 200703:26
Key topics04:45
Making video a "first class citizen"06:05
Flickr Notes06:30
YouTube Temporal Addressing (Sept 2008)07:15
Media Fragments Use Cases08:04
What are Media Fragments?08:43
Media Fragments Dimensions09:48
Media Fragments (temporal)10:08
Media Fragments (spatial)10:45
URI Scheme11:35
URI Fragments vs. URI Queries12:43
Media Fragments Resolution - 114:19
Media Fragments Resolution - 215:51
Influence of Media Formats18:21
Media Fragment Clients19:11
Media Fragment Servers20:41
Annotations21:36
Media Fragment Semantic Annotation - 122:52
Media Fragment Semantic Annotation - 225:33
Media Fragment Semantic Annotation - 327:19
Open Annotation Data Model28:26
Semantic Annotation of an Image30:14
Maphub31:24
Open Video: Annotation Project32:18
YouTube Annotations32:42
YouTube Annotations: How To33:25
LinkedTV: automatic annotations ...33:46
... and enrichment for hypervideos34:48
Media Fragments and Annotations35:59
Enrichment and Hypervideos36:51
Person, entity, thing38:18
NER Tools and Web APIs39:40
NERD: Named Entity Recognition and Disambiguation42:31
NERD User Interface43:02
Media Fragment + Open Annotation + NERD43:22
Media Fragment Enricher45:30
Linking pieces of knowledge - 146:44
Linking pieces of knowledge - 247:15
Towards a Linked Media Layer47:48
Media Collector49:02
Query49:39
Media Collector + White List web sites50:23
Seed video enriched with web content50:35
Enrichments are Annotations too50:46
CWI51:27
TV + Kinect + Web experience51:55
Take Away Summary51:56
Credits53:21
Semantic Multimedia Remixing53:32
MediaMixer Technology Framework - 154:43
MediaMixer Technology Framework - 255:01
Summary55:12
Task presentation - 155:37
Task presentation - 257:03
Task presentation - 358:24
Task presentation - 459:40
Evaluation measures - 101:00:46
Evaluation measures - 201:01:26
Our approach – 1. Pre-processing01:02:05
Our approach – 2. Indexing01:03:09
Solr indexing - 101:04:11
Solr indexing - 201:04:58
Solr indexing - 301:05:06
Our approach – 3. Search - 101:05:24
Example: mapping01:06:17
Example: detector confidence01:07:13
Our approach – 3. Search - 201:07:53
Our approach – 3. Search - 301:09:08
Solr querying - 101:09:59
Solr querying - 201:10:25
Our approach – 4. Hyperlinking01:10:48
Examples01:11:02
Results - 101:12:38
mGAP results (60s window)01:13:40
Results - 201:13:55
P-10 results (60s windows)01:14:22
Conclusion and Future work01:14:33
Related Publications01:15:42