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Business Planning

Constantin Thiopoulos
Business plan: Part I

Product/Service Definition
  – Product/Service description
  – Customer benefits
  – Technological issues & IPRs
Business plan: Part II
Market and competition

  – Definition of the target market
  – Market Analysis
  – Competition Analysis
  – Positioning
  – SWOT
Business Plan: Part III
Marketing

  – Marketing Strategy
  – Differentiation
  – Market entry strategy
  – Communication strategy
Business Plan: Part IV
Business model and Organisation

  – Business model
  – Organisation
  – Team
  – Opportunities and risks
Business Plan: Part V
Financial Planning

  – Profit & Loss
  – Liquidity
  – Financing
Case 1: Embedded advertisement
• Watch: product placement

• Click: select product of interest in digital video by
  clicking on it and get multimedia information
  (embedded advertisement). Requires automatic
  generation of hotspots in every frame through
  object tracking.

• Buy: order product through a web shop
Hypervideos
●   Adding informations to objects in videos
●   Text, images, hyperlinks etc.




                                               8
Challenge: Fast & automatic creation
   through robust object tracking




                                       9
Technology: Video editor for object tracking

– Load the video
– Select the object(s) to be
  tracked
– View the results and eventually
  select new objects or do
  corrections
– Add the content for the
  interactive tags
– Export the results as interactive
  videos
Technology: Video editor for object tracking

 Competitive advantage of the tracker based
  on research results at DFKI


        • High robustness to appearance
          change, occlusion and strong
          motions

        • The object does not need to
          be rigid, i.e. people tracking
Examples of tracking results
Deployment: final video




   Watch              Click           Buy         Product Web-site


• Tags and meta-data are encoded as video for standard Flash-
  players
• Reporting statistics about clicks
Case 2: Customised fashion e-
           commerce

                           3D avatar
garment
design

                                       kinect
          virtual try-on               body scan




 share
Depth Camera
Depth Camera
• 18 million Kinect already sold!
  • 66 million Xbox
  • 40 million online users



• Microsoft announced Kinect
  for PC and commercial-use
  (CES 2012)

• Competitors offer products as
  well, e.g. Xtion from ASUS!
Kinect body scan
A single camera but a full body scan!




                Single Kinect + Laptop
                        Set-Up           Kinect‘s images
Processing pipeline
3D avatar in online CAD
Virtual try-on
Case 3: Content based video search for the
automatic identification of critical situations



                                   CCTV            Video Surveillance
                                                       System 1
                                                                         Video                           AVISTO
                                                                         Search                          System

                                                                                        distributed
                                                                                          search
                                                                                                              Operator




                                                                                               Distributed
                                                                                             Surveillance and
                                                                                                 Search
                                                           ....



                                    CCTV            Video Surveillance
                                                        System n


                                                                         Video
                                                                         Search

                                    Web-Cam



                                                                                                   alarm
                                                                                                  personnel



                                              • Service Center
                                              • Security Guards
                            operating         • Service Technician
                             on place         • Ambulance

                                                                                  ICT
Critical Situations
The system can be trained to identify any critical
situation:

•   “abandoned suitcase”
•   “vandalism”
•   “intrusion”
•   emergency cases with injured persons
System overview
an image analyser extracts macroscopic indicators, such
as objects, movement, filling level and concentration
indicators
a situation analyser automatically identifies situations by
combining the extracted indicators to search patterns
automatic refinement of search patterns by analysing
subsequent searches for similar situations
explicit specification of situations to be searched for
identifying of past events related to criminal activity or
security relevant incidents
Benefits
• Increase of objective and subjective security
• Self-learning
• Early identification of potentially critical
  situations
• Integration into workflow
• Indexed archiving, prevention of erasing
  critical sequences
• Statistical reporting
Case 4: Telepresence
Realistic simulation of walk-through experience
in remote places

Combination of:
• 360 camera
• 3D site reconstruction software
• Walk trough hardware in Dome
Site Reconstruction
Dome
Case 5: Kinetic Jacket
A wireless sensor network integrated into a garment that is worn by
  the user, which combined with the physical activity visualization
  and patient feedback software constitutes a motion tracking
  system.

From the continuous stream of motion data single repetitions of a
   given exercise motion are extracted and compared to a reference
   motion, evaluating the execution in terms of amplitude, velocity
   and smoothness.

A digital exercise trainer provides a selection of remotely
  programmable customised exercises, guides the user and controls
  the exercise technique by providing feedback on the way the
  exercises are performed.

The motions of the user are visualized through a virtual avatar.
Sensor Positioning to capture motion
Testing
Jacket
Testing & Fixation
Case 6:Mobile AR for tourism
Target images, when detected by the smart
phone application, will trigger actions that will
impose or lead to further information.

By pointing their smart phone on these images
tourists will be able to inspect multimedia
material overlaid on the camera image.
Scenarios
Client-Server Architecture
Functionality
A mobile application for android smart phones (client) that will recognise the
target images, when the camera of the mobile is focussing on them and
impose the overlays
• Interaction: this module interprets all user interaction, basically screen
   touch input
• Tracking: the detection, position and orientation of a target image is
   computed with help of image analysis. The main issue is real-time
   capability and tracking stability.
• 2D/3D Visualization: the visualization of the video image and the virtual
   augmentation will be done using standards such as opengl es, supported
   by android.

A web based content management system (server) that will allow the input
and management of all target images and the corresponding action
multimedia information. Target images can be added and edited by the
operator of the system as entries, together with the corresponding action
data (images, videos, links to websites, etc.). Every time the app on the smart
phone detects one of the target images, it overlays the relevant action data.

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Business Planning Guide for Startups

  • 2. Business plan: Part I Product/Service Definition – Product/Service description – Customer benefits – Technological issues & IPRs
  • 3. Business plan: Part II Market and competition – Definition of the target market – Market Analysis – Competition Analysis – Positioning – SWOT
  • 4. Business Plan: Part III Marketing – Marketing Strategy – Differentiation – Market entry strategy – Communication strategy
  • 5. Business Plan: Part IV Business model and Organisation – Business model – Organisation – Team – Opportunities and risks
  • 6. Business Plan: Part V Financial Planning – Profit & Loss – Liquidity – Financing
  • 7. Case 1: Embedded advertisement • Watch: product placement • Click: select product of interest in digital video by clicking on it and get multimedia information (embedded advertisement). Requires automatic generation of hotspots in every frame through object tracking. • Buy: order product through a web shop
  • 8. Hypervideos ● Adding informations to objects in videos ● Text, images, hyperlinks etc. 8
  • 9. Challenge: Fast & automatic creation through robust object tracking 9
  • 10. Technology: Video editor for object tracking – Load the video – Select the object(s) to be tracked – View the results and eventually select new objects or do corrections – Add the content for the interactive tags – Export the results as interactive videos
  • 11. Technology: Video editor for object tracking  Competitive advantage of the tracker based on research results at DFKI • High robustness to appearance change, occlusion and strong motions • The object does not need to be rigid, i.e. people tracking
  • 13. Deployment: final video Watch Click Buy Product Web-site • Tags and meta-data are encoded as video for standard Flash- players • Reporting statistics about clicks
  • 14. Case 2: Customised fashion e- commerce 3D avatar garment design kinect virtual try-on body scan share
  • 16. Depth Camera • 18 million Kinect already sold! • 66 million Xbox • 40 million online users • Microsoft announced Kinect for PC and commercial-use (CES 2012) • Competitors offer products as well, e.g. Xtion from ASUS!
  • 17. Kinect body scan A single camera but a full body scan! Single Kinect + Laptop Set-Up Kinect‘s images
  • 19. 3D avatar in online CAD
  • 21. Case 3: Content based video search for the automatic identification of critical situations CCTV Video Surveillance System 1 Video AVISTO Search System distributed search Operator Distributed Surveillance and Search .... CCTV Video Surveillance System n Video Search Web-Cam alarm personnel • Service Center • Security Guards operating • Service Technician on place • Ambulance ICT
  • 22. Critical Situations The system can be trained to identify any critical situation: • “abandoned suitcase” • “vandalism” • “intrusion” • emergency cases with injured persons
  • 23. System overview an image analyser extracts macroscopic indicators, such as objects, movement, filling level and concentration indicators a situation analyser automatically identifies situations by combining the extracted indicators to search patterns automatic refinement of search patterns by analysing subsequent searches for similar situations explicit specification of situations to be searched for identifying of past events related to criminal activity or security relevant incidents
  • 24. Benefits • Increase of objective and subjective security • Self-learning • Early identification of potentially critical situations • Integration into workflow • Indexed archiving, prevention of erasing critical sequences • Statistical reporting
  • 25. Case 4: Telepresence Realistic simulation of walk-through experience in remote places Combination of: • 360 camera • 3D site reconstruction software • Walk trough hardware in Dome
  • 27. Dome
  • 28. Case 5: Kinetic Jacket A wireless sensor network integrated into a garment that is worn by the user, which combined with the physical activity visualization and patient feedback software constitutes a motion tracking system. From the continuous stream of motion data single repetitions of a given exercise motion are extracted and compared to a reference motion, evaluating the execution in terms of amplitude, velocity and smoothness. A digital exercise trainer provides a selection of remotely programmable customised exercises, guides the user and controls the exercise technique by providing feedback on the way the exercises are performed. The motions of the user are visualized through a virtual avatar.
  • 29. Sensor Positioning to capture motion
  • 33. Case 6:Mobile AR for tourism Target images, when detected by the smart phone application, will trigger actions that will impose or lead to further information. By pointing their smart phone on these images tourists will be able to inspect multimedia material overlaid on the camera image.
  • 36. Functionality A mobile application for android smart phones (client) that will recognise the target images, when the camera of the mobile is focussing on them and impose the overlays • Interaction: this module interprets all user interaction, basically screen touch input • Tracking: the detection, position and orientation of a target image is computed with help of image analysis. The main issue is real-time capability and tracking stability. • 2D/3D Visualization: the visualization of the video image and the virtual augmentation will be done using standards such as opengl es, supported by android. A web based content management system (server) that will allow the input and management of all target images and the corresponding action multimedia information. Target images can be added and edited by the operator of the system as entries, together with the corresponding action data (images, videos, links to websites, etc.). Every time the app on the smart phone detects one of the target images, it overlays the relevant action data.