Introduction to Video Search Engines (Google eBook)

Front Cover
Springer Science & Business Media, Sep 20, 2008 - Computers - 276 pages
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The evolution of technology has set the stage for the rapid growth of the video Web: broadband Internet access is ubiquitous, and streaming media protocols, systems, and encoding standards are mature. In addition to Web video delivery, users can easily contribute content captured on low cost camera phones and other consumer products. The media and entertainment industry no longer views these developments as a threat to their established business practices, but as an opportunity to provide services for more viewers in a wider range of consumption contexts. The emergence of IPTV and mobile video services offers unprecedented access to an ever growing number of broadcast channels and provides the flexibility to deliver new, more personalized video services. Highly capable portable media players allow us to take this personalized content with us, and to consume it even in places where the network does not reach. Video search engines enable users to take advantage of these emerging video resources for a wide variety of applications including entertainment, education and communications. However, the task of information extr- tion from video for retrieval applications is challenging, providing opp- tunities for innovation. This book aims to first describe the current state of video search engine technology and second to inform those with the req- site technical skills of the opportunities to contribute to the development of this field. Today’s Web search engines have greatly improved the accessibility and therefore the value of the Web.
  

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Contents

Video Search
1
12 Addressing the Opportunity
2
13 Classification of Web Video Sites
5
132 Aggregators
6
135 Application Specific
7
14 Classification of Video Sources
8
141 Webcams Security
9
144 User Generated Content
10
Fade in Detector
113
623 Fusion of Detector Results
117
63 Representative Image Selection
118
64 Face Detection
121
65 Face Recognition
126
66 Video Optical Character Recognition
129
67 Concept Detection
131
671 Color Feature
133

147 Rushes Raw Footage
11
1411 Feature Films
12
15 Challenges of Video Search
13
151 Acquisition
14
152 Media File Formats
15
153 Data Transport
16
155 Duplication
17
16 Advantages of Video Search over Text
18
162 Metadata
19
18 Conclusion
20
References
21
Video Data Sources and Applications
23
212 Consumer Video Metadata
24
214 Metadata Standards
25
215 Dublin Core
26
216 MPEG7
27
22 Essential Media Metadata
29
23 Metadata for Personal Media Collections
31
232 UPnP Forum
33
234 3GP QuickTime MP4
34
236 Content Identification
36
237 Recorded Television
37
RSS Content Description
39
243 Podcasts
41
244 RSS for Content Ingest
42
245 MediaRSS
43
251 Electronic Programming Guide EPG
44
252 Extended Data Service XDS
46
253 Program and System Identifier Protocol PSIP
47
262 Cable Labs
49
27 Production Metadata
50
28 Timed Text Formats
51
282 Synchronization Precision and Resolution
52
283 Transcripts
53
284 Closed Captions
54
285 Synchronized Accessible Media Interchange
55
29 Conclusion
56
Internet Video
59
322 Luminance and Chrominance Resolution
61
323 Video Compression
62
33 Internet Protocol Media Systems
66
332 Searching VoD vs Live
67
333 IPTV
68
334 Rights Management
70
336 Layered Encoding
73
34 Media Captioning
74
35 Conclusion
75
References
76
Video Search Engine Systems
77
42 Content Acquisition
78
422 User Contributed
79
423 Syndicated Contribution
80
424 Broadcast Acquisition
81
43 Content Processing
82
44 Retrieval
84
45 User Perspectives
85
452 Granularity of Search Results Representation
87
46 Factors Concerning Scalability
88
462 Acquisition
89
464 Storage
90
465 Retrieval
91
47 Retrieval Interfaces
92
48 Typical System Features
93
49 Conclusion
94
Media Processing
96
52 Feature Extraction
99
53 Media Segmentation
100
54 Clustering Structure Generation
101
55 RealTime Processing
103
57 Conclusion
104
References
105
Video Processing
107
62 Shot Boundary Determination
108
621 Feature Extraction
110
622 Shot Boundary Detectors
111
673 Edge Feature
135
69 Conclusion
140
References
141
Audio Processing
145
72 Audio Signal and Its Representation
146
73 Audio Features
148
732 ClipLevel Features
154
74 Audio Segmentation
156
741 Speaker Segmentation
157
742 Audio Scene Segmentation
158
75 Audio Content Categorization
160
752 Audio Scene Detection
162
753 Music Genre Classification
163
76 Speech Recognition
164
77 Audio Query and Browsing Techniques
166
771 SpeechLogger
167
772 Query by Example
171
78 Conclusion
172
References
173
Text Processing
176
82 Story Segmentation
178
822 Cosine Similarity
179
823 Dynamic Programming
181
824 Topic Classification
183
831 Rule Based NEE
184
832 Data Driven NEE
185
833 NEE Tools
186
84 PartofSpeech Tagging
187
85 Capitalization
189
851 Linguistic Processing Architecture
191
853 Text Capitalization Algorithm
192
86 Information Retrieval
194
862 Term Weighting
195
863 Ranking
196
87 Text Summarization
197
871 Keyword Extraction
199
88 Conclusion
201
Multimodal Processing
203
92 Case Studies
205
Alignment algorithm
206
Simulation Results
208
922 Multimodal News Story Segmentation
209
923 Major Cast Detection
214
93 Conclusion
217
Research Systems
221
102 Academic and Industrial Research
222
103 Early Internet Deployments
226
1032 StreamSage
227
104 Selected Commercial Systems
228
Datasets Evaluations Conferences
229
106 Media Monitoring Deployments
231
ATT MIRACLE
232
1073 Collections
233
1074 Data Organization
235
1075 Acquisition Ingest
236
1076 Content Processing
238
1077 Realtime processing
239
1079 Applications
240
108 Conclusion
242
Current Trends in Video Search
247
112 Video Production
248
1123 Mobisodes and Webisodes
249
1131 Streaming Protocols
250
1133 Peertopeer Delivery
251
1135 Syndication
252
1143 Social Tagging
253
1145 Video Blogs vlogs
254
1151 Proliferation of Channels
255
116 Trends in Media Devices
256
1162 Increasing Accessibility
257
118 Deployments
260
119 Conclusion
261
Glossary
264
Index
271
Copyright

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About the author (2008)

David Gibbon joined Bell Laboratories in 1985 and is currently a Lead Member of Technical Staff in the Video and Multimedia Services Research Department at AT&T Labs - Research. His research interests include multimedia processing for searching and browsing of video databases and real-time video processing for communications applications. David has written book chapters and encyclopedia articles as well as numerous technical papers; he has 40 US patent filings and holds 14 US patents in the areas of multimedia indexing, streaming, and video analysis; and he is a member of the ACM, and a senior member of the IEEE. David contributes to IPTV industry standards for metadata and in 2007 he was awarded the AT&T Science and Technology Medal for outstanding technical leadership and innovation in the field of Video and Multimedia Processing and Digital Content Management.

Zhu Liu joined AT&T Labs - Research in 2000, and he is currently a Principal Member of Technical Staff in the Video and Multimedia Services Research Department. His research interests include multimedia content processing, multimedia databases, pattern recognition, and machine learning. Zhu holds 7 US patents and he is the inventor of more than 20 pending patents in the areas of multimedia service and content analysis. He has published more than 40 refereed papers in international leading journals and at key conferences in the areas of multimedia. He is a member of ACM and Tau Beta Pi, and a senior member of the IEEE.