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Enhancing the Presentation of Multimedia using Extracted Semantics Hyowon Lee Guest Speech at 1 st SEMPS Workshop (6 Dec 2006) Centre for Digital Video Processing Dublin City University Overview Centre & my role Selection of


  1. Enhancing the Presentation of Multimedia using Extracted Semantics Hyowon Lee Guest Speech at 1 st SEMPS Workshop (6 Dec 2006) Centre for Digital Video Processing Dublin City University Overview • Centre & my role • Selection of multimedia applications and their presentation design issues • Some observations – Different applications, different design decisions – Applying general design principles 1

  2. Centre for Digital Video Processing at Dublin City University • Developing automatic indexing/retrieval tools for managing large amount of image/video information – Object/Face Detection & Tracking in Video – Audio & Video Event Detection – Video Delivery on Mobile Devices – Large-scale Distributed Web Image Search – Search Engine Design for Collaborative Video Retrieval – Hardware Accelerator Design for MPEG-4 Mobile Platform – Personalisation & Recommendation for Video – Synergy between automatic & manual indexing – Fusion of multi-modal query results My Role: Usability & User Issues • Understand the research & development of Image/Video indexing/retrieval tools within the Centre • Think how these could be exploited – Envision the use: scenarios & future system use – Prototyping user-interfaces – Deploy (if possible) – User testing: monitor usage & guide future development 2

  3. MediAssist (Personal Photo Manager) Mobile Applications Movie Browser Físchlár-News CCTV Search Development System (interaction design + Físchlár-Nursing software engineering) BBC Rushes Físchlár-News Search System SenseCam Interactive Físchlár-TV Object-based RF Browser system v2 TableTop Video TRECVid03 TRECVid04 TRECVid02 Object-based RF Search System Interactive Search Interactive Search Interactive Search system v1 (TRECVid05) System System System Time Image-Image Shot Similarity RF Boundary News Story Automatic Detection Face Detection Segmentation Personal Photo Organisation Object Detection Passive Photo Building Detection & Tracking Keyframe Technology Capture Extraction Indoor/Outdoor Development for Object-Object • Event Detection Cityscape/Landscape automatic Scene Detection Similarity RF • Unique Event extraction of in Movies Advert Detection Determination Video syntactic & • Landmark Image Recommendation Pedestrian semantic features Selection Detection in image/video Sports Summarisation Hardware acceleration for video processing End of video Start of video Original video shot boundary detection Camera shot Keyframe Extraction 3

  4. Físchlár-News Archive • Online archive of daily RTE1 9pm TV news • Automatic video indexing: News Story Segmentation , based on: – Anchorperson detection (by shot clustering) – Face detection – Advertisement detection – Shot length – Activity measure Story-based news Broadcast browsing, searching, TV news streamed playback and… …recommendation MPEG-1 encoding News story linkage analysis Oracle Web Video application An MPEG-1 encoded daily 9 Server o’clock news program (30 min) User Shot Boundary profile Detection News story database Shot segmented program Story Segmentation - SVM Advertisement (Support Vector Machine) with: Detection • Speech vs. music discrimination • Anchorperson shot clustering • Face detection • Shot length cue Shot segmented, advert Story segmented program detected program • Activity measure 4

  5. User Evaluation of Físchlár-News: An Automatic Broadcast News Delivery System. Lee H, Smeaton A.F, O'Connor N and Smyth B. TOIS - ACM Transactions on Information Systems, 24(2), 2006 . Automatic news story segmentation as main back-end => story-based browsing, searching, recommendation Deployment effort... User studies to refine the UI 5

  6. Some Factors in its UI Design • Application specific... Daily update, up-to-dateness of news => Calendar Anchorperson’s 2-line summary statement as story summary text Average #stories per day (10- 20 only) => Linear list most effective (no drop-down box or pagination necessary) 6

  7. Some Factors in its UI Design • General design principles, guidelines, graphic design, web design, etc. – knowledge & experience I have in general – E.g. Overview first, details on demand Day list of the months (calendar) Story list of the day Shot list of the story Playback (full detail) 7

  8. Some Factors in its UI Design • General design principles, guidelines, graphic design, web design, etc. – knowledge & experience I have in general – E.g. Overview first, details on demand – E.g. Visual consistency 8

  9. Whenever list of stories appears... ... to make obvious what a piece of presentation on the screen represents and doesn’t require interpretation effort 9

  10. MediAssist (Personal Photo Manager) Mobile Applications Movie Browser Físchlár-News CCTV Search Development System (interaction design + Físchlár-Nursing software engineering) BBC Rushes Físchlár-News Search System SenseCam Interactive Físchlár-TV Object-based RF Browser system v2 TableTop Video TRECVid03 TRECVid04 TRECVid02 Object-based RF Search System Interactive Search Interactive Search Interactive Search system v1 (TRECVid05) System System System Time Image-Image Shot Similarity RF Boundary News Story Automatic Detection Face Detection Segmentation Personal Photo Organisation Object Detection Passive Photo Building Detection & Tracking Keyframe Technology Capture Extraction Indoor/Outdoor Development for Object-Object • Event Detection Cityscape/Landscape automatic Scene Detection Similarity RF • Unique Event extraction of in Movies Advert Detection Determination Video syntactic & • Landmark Image Recommendation Pedestrian semantic features Selection Detection in image/video Sports Summarisation Hardware acceleration for video processing Físchlár-TRECVid2004: Combined Text- and Image-Based Searching of Video Archives. O'Connor N, Lee H, Smeaton A.F, Jones G, Cooke E, Le Borgne H and Gurrin C. ISCAS 2006 - IEEE International Symposium on Circuits and Systems, Kos, Greece, 21-24 May 2006. 10

  11. Keyframe as main visual cue in interaction (browse search result, copy to query panel, save, etc. From left to right... natural progression Potential screen complexity – use of main plain vs. background plain, round edges, and corresponding buttons MediAssist (Personal Photo Manager) Mobile Applications Físchlár-News Movie Browser CCTV Search Development System (interaction design + Físchlár-Nursing software engineering) BBC Rushes Físchlár-News Search System SenseCam Interactive Físchlár-TV Object-based RF Browser system v2 TableTop Video TRECVid02 TRECVid03 TRECVid04 Object-based RF Search System Interactive Search Interactive Search Interactive Search system v1 (TRECVid05) System System System Time Image-Image Shot Similarity RF Boundary News Story Automatic Detection Face Detection Segmentation Personal Photo Organisation Object Detection Building Detection Passive Photo Keyframe & Tracking Technology Capture Extraction Indoor/Outdoor Development for Object-Object • Event Detection Cityscape/Landscape automatic Scene Detection Similarity RF • Unique Event in Movies extraction of Advert Detection Determination Video syntactic & • Landmark Image Recommendation Pedestrian Selection semantic features Detection in image/video Sports Summarisation Hardware acceleration for video processing 11

  12. Original video Composited video Video object planes A unit representation shows: - the unit’s video content summary, - all the detected Objects & Events and link possibility are indicated OBJECT 1 OBJECT 2 BACKGRD. … I can’t imagine even such an amiable ladies as my great grandmother could have been so gracious as to overlook one’s house guest, shooting one through the face… OBJECT 2 BACKGRD. OBJECT 1 … I can’t imagine even such an amiable ladies as my great grandmother could have been so gracious as to overlook one’s house guest, shooting one through the face… BACKGRD. OBJECT 1 OBJECT 2 … I can’t imagine even such an amiable ladies as my great grandmother could have been so gracious as to overlook one’s house guest, shooting one through the face… 12

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