Business planning
description
Transcript of Business planning
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
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Hypervideos ● Adding informations to objects in videos
● Text, images, hyperlinks etc.
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Challenge: Fast & automatic creation through robust object tracking
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
Watch Click Buy
Deployment: final video
• Tags and meta-data are encoded as video for standard Flash-players
• Reporting statistics about clicks
Product Web-site
Case 2: Customised fashion e-commerce
kinect body scan
3D avatar
virtual try-on
garment design
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
Single Kinect + Laptop Set-Up
A single camera but a full body scan!
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
ICT
Distributed
Surveillance and
Search
AVISTO
SystemVideo
Search
Video Surveillance
System 1
....
Operator
• Service Center
• Security Guards
• Service Technician
• Ambulance
Video
Search
CCTV
distributed
search
alarm
personnel
operating
on place
Video Surveillance
System n
CCTV
Web-Cam
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.