Multimedia Information Retrieval at ORL
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1 Multimedia Information Retrieval at ORL Dr Kenneth R Wood ORL 24a Trumpington Street Cambridge CB2 1QA ENGLAND krw@orl.co.uk 1
2 ORL Funding & IPR from ongoing from 1996 IPR Founded in 1986 Andy Hopper, Director UK limited company 36+ full time research staff IPR IPR IPR Cambridge University England Cracow University Poland 2
3 ORL Research Directions ATM Networking Fixed ATM systems Mobile ATM systems Multimedia ATM peripheral modules Applications environments Mobile systems Wearable computers Supporting user mobility Network computing Stateless terminals Centralised service clusters Sensor-driven computing Active environments Spatial indexing Information retrieval Speech and video indexing Multimodal querying/browsing Global Personalisation 3
4 ATM Networked Multimedia Workstation Camera Speaker Camera ATM Network Microphone Speaker Video Tile Disc Direct Network Peripherals such as cameras, LCD video tiles, discs and audio I/O plug into the lab s ATM network, enabling experiments with Video Mail amongst other things. 4
5 Video Mail Retrieval ORL Video Mail Archive messages Problem - retrieval means watching all of archive Solution - VMR Participants: - ORL (Networked Multimedia Systems) - CUED (Speech recognition - Steve Young) - CUCL (Information Retrieval - Karen Sparck Jones) 5
6 VMR Project Goals To develop robust unrestricted word spotting algorithms for use in audio and video document retrieval. To adapt existing text-based information retrieval techniques to work effectively on voice data. To develop and demonstrate a practical system providing video document retrieval using voice. 6
7 VMR Storage and Retrieval System VMR User Interface Video Mail Browser search request Retrieval Engine List of Term Indexes Lattice Scanner on-line off-line New Mail Phone Recogniser Message Archive Phone Lattices 7
8 User Interface - Requests Statistical Information Retrieval methods are used to rank potentially relevant video mail for a given request 8
9 User Interface - Browsing In the browser the horizontal timeline shows potential word hits, highlighting each word. Random access playback can be started by clicking anywhere in the timeline. 9
10 Follow-on project: MDR MDR = Multimedia Document Retrieval son of VMR CUED, CUCL, plus limited ORL & Entropic Heavily speech oriented: primary aim is broadcast news retrieval using audio classification and both large-vocab and phone-lattice recognition 10
11 Follow-on project: MMIR MMIR = MultiMedia Information Retrieval ORL only (6 full-time research staff) Aim is true multimodal indexing, querying, and browsing of heterogeneous collections, using image and video analysis in addition to speech recognition Cross-fertilisation with MDR likely 11
12 MMIR: Data Harvard lectures Television News capture Online daily newspaper capture (text and images) Still images on the web Audio and video on the web BBC Monitoring Service, Film archives,... cf DEC MediaVista 12
13 MMIR: Analysis Audio: - classification - speech: large vocabulary, phone-lattice Image/Video: - image parsing (edges, regions, colour, texture, shape grammar, ) - shot parsing, key frame detection, motion 13
14 Image Parsing Multiscale Edge Detection Clever Region Growing Colour, Texture, Shape Quadrant assignment 14
15 MMIR: IR & UI How to adapt IR models for multimodal indexing? - vector, probabilistic, inference net - relevance feedback and query expansion How to construct UI for multimodal queries/browsing? - query construction - visualization of (intermediate) results space These two aspects are intimately related and equally important! 15
16 MMIR: System TSL Npoint 1000 MPEG Camera IR Isearch (CNIDR) Inquery (Sovereign-Hill) Okapi (City University) + Experimental Mods UI Data TV VCR Web CORBA omniorb2 Orbix Java Intel JMF OrbixWeb Queries Results Browsing Scanner CD-ROM Analysis Text Audio Image/Video Text Oracle 7/8 Database Video Server 7-processor Ultra Enterprise Server with Terabyte store (currently 0.1!) 16
17 MMIR: Plans 3Q97 sub-goal: still-image retrieval prototype Ongoing parallel activities: - data collection & digitizing - speech training & language model development - video shot parsing & key frame detection - CORBA component wrappers & transport experiments - Oracle database integration - IR techniques R&D - UI design R&D 3Q98 sub-goal: speech+image video retrieval prototype 17
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