| 000 | 06141nam a2200493 i 4500 | ||
|---|---|---|---|
| 001 | 011453122865 | ||
| 003 | MOCL | ||
| 005 | 20260528133338.0 | ||
| 006 | m eo d | ||
| 007 | cr cn |||m|||a | ||
| 008 | 180330s2018 nyua fob 001 0deng d | ||
| 020 |
_a9781970001051 _qebook |
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| 020 |
_z9781970001068 _qePub |
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| 020 |
_z9781970001044 _qpaperback |
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| 020 |
_z9781970001075 _qhardcover |
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| 024 | 7 |
_a10.1145/3122865 _2doi |
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| 035 | _a(CaBNVSL)swl00408224 | ||
| 035 | _a(OCoLC)1030021247 | ||
| 040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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| 050 | 4 |
_aQA76.575 _b.C424 2018 |
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| 082 | 0 | 4 |
_a006.7 _223 |
| 100 | 1 |
_aChang, Shih-Fu, _d1963-, _eauthor. |
|
| 245 | 1 | 0 |
_aFrontiers of multimedia research / _cShih-Fu Chang. |
| 250 | _aFirst edition. | ||
| 264 | 1 |
_a[New York] : _bAssociation for Computing Machinery ; _a[San Rafael, California] : _bMorgan & Claypool, _c2018. |
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| 300 |
_a1 PDF (xv, 400 pages) : _billustrations. |
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| 336 |
_atext _2rdacontent |
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| 337 |
_aelectronic _2isbdmedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 490 | 1 |
_aACM books, _x2374-6777 ; _v#17 |
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| 538 | _aMode of access: World Wide Web. | ||
| 504 | _aIncludes bibliographical references (pages [315]-377) and index. | ||
| 505 | 0 | _aPart I. Multimedia content analysis -- 1. Deep learning for video classification and captioning / Zuxuan Wu, Ting Yao, Yanwei Fu, Yu-gang Jiang -- 1.1 Introduction -- 1.2 Basic deep learning modules -- 1.3 Video classification -- 1.4 Video captioning -- 1.5 Benchmarks and challenges -- 1.6 Conclusion -- 2. Audition for multimedia computing / Gerald Friedland, Paris Smaragdis, Josh McDermott, Bhiksha Raj -- 2.1 A new field -- 2.2 Background -- 2.3 Data for computer audition -- 2.4 The nature of audio data -- 2.5 Dealing with the peculiarities of sound -- 2.6 Potential applications -- 2.7 Conclusion -- Acknowledgments -- 3. Multimodal analysis of free-standing conversational groups / Xavier Alameda-Pineda, Elisa Ricci, Nicu Sebe -- 3.1 Introduction -- 3.2 Related work -- 3.3 The SALSA dataset -- 3.4 Matrix completion for multimodal pose estimation -- 3.5 Experiments -- 3.6 Conclusion -- 4. Encrypted domain multimedia content analysis / Pradeep K. Atrey, Ankita Lathey, Abukari M. Yakubu -- 4.1 Introduction -- 4.2 SPED: an overview -- 4.3 Image processing in encrypted domain -- 4.4 Video processing in encrypted domain -- 4.5 Audio processing in encrypted domain -- 4.6 Further discussion -- 4.7 Conclusion -- 5. Efficient similarity search / Herve Jegou -- 5.1 Background -- 5.2 Cell-probe algorithms -- 5.3 Sketches and binary embeddings -- 5.4 Searching and similarity estimation with quantization -- 5.5 Hybrid approaches: the best of probing and sketching -- 5.6 Searching for non-Euclidean metrics and graph-based approaches -- 5.7 Conclusion -- | |
| 505 | 8 | _aPart II. Human-centered multimedia computing -- 6. Social-sensed multimedia computing / Peng Cui -- 6.1 Semantic gap vs. need gap -- 6.2 Social-sensed multimedia computing -- 6.3 Basic problems and key technologies -- 6.4 Recent advances -- 6.5 Exemplary applications -- 6.6 Discussions on future directions -- 6.7 Conclusion -- 7.Situation recognition using multimodal data / Vivek Singh -- 7.1 The emerging eco-system and a motivating application -- 7.2 Defining situation -- 7.3 A framework for situation recognition -- 7.4 EventShop: a toolkit for situation recognition -- 7.5 Building situation-aware applications using EventShop: -- 7.6 Open challenges and opportunities -- 7.7 Conclusion -- Acknowledgments -- 8. Hawkes processes for events in social media / Marian-Andrei Rizoiu, Young Lee, Swapnil Mishra, Lexing Xie -- 8.1 Introduction -- 8.2 Preliminary: Poisson processes -- 8.3 Hawkes processes -- 8.4 Simulating events from Hawkes processes -- 8.5 Estimation of Hawkes processes parameters -- 8.6 Constructing a Hawkes model for social media -- 8.7 Conclusion -- 9. Utilizing implicit user cues for multimedia analytics / Subramanian Ramanathan, Syed Omer Gilani, Nicu Sebe -- 9.1 Introduction -- 9.2 Inferring scene semantics from eye movements -- 9.3 Eye fixations as implicit annotations for object recognition -- 9.4 Emotion and personality type recognition via physiological signals -- 9.5 Conclusion -- | |
| 505 | 8 | _aPart III. Multimedia communication and systems -- 10. Multimedia fog computing: minions in the cloud and crowd / Cheng-Hsin Hsu, Hua-Jun Hong, Tarek Elgamal, Klara Nahrstedt, Nalini Venkatasubramanian -- 10.1 Introduction -- 10.2 Related work -- 10.3 Challenges -- 10.4 Distributed multimedia applications: what we can learn from prior studies -- 10.5 Deployment: open-source platforms -- 10.6 Conclusion -- 11. Cloud gaming / Kuan-Ta Chen, Wei Cai, Ryan Shea, Chun-Ying Huang, Jiangchuan Liu, -- Victor C. M. Leung, Cheng-Hsin Hsu -- 11.1 Overview on cloud gaming research -- 11.2 GamingAnywhere: an open-source cloud gaming platform -- 11.3 Cloud deployment -- 11.4 Thin client design -- 11.5 Communication -- 11.6 Future paradigm of cloud gaming -- 11.7 Conclusion -- Bibliography -- Index -- Editor biography. | |
| 520 | 3 | _aThe field of multimedia is unique in offering a rich and dynamic forum for researchers from "traditional" fields to collaborate and develop new solutions and knowledge that transcend the boundaries of individual disciplines. Despite the prolific research activities and outcomes, however, few efforts have been made to develop books that serve as an introduction to the rich spectrum of topics covered by this broad field. A few books are available that either focus on specific subfields or basic background in multimedia. Tutorial-style materials covering the active topics being pursued by the leading researchers at frontiers of the field are currently lacking. | |
| 530 | _aAlso available in print. | ||
| 588 | _aTitle from PDF title page (viewed on March 30, 2018). | ||
| 650 | 0 |
_aMultimedia systems _xResearch. |
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| 655 | 0 | _aElectronic books. | |
| 776 | 0 | 8 |
_iPrint version: _z9781970001075 _z9781970001044 |
| 830 | 0 |
_aACM books ; _v#17. _x2374-6777 |
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| 856 | 4 | 8 |
_3Abstract with links to full text _uhttp://dx.doi.org/10.1145/3122865 |
| 999 |
_c367 _d367 |
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