Vectorave Reference-based
Holographic Transceiver Process

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   The Vectorave Reference-based Holographic Transceiver Process is 3-dimensional ultra-high definition holographic process that transmits and receives refernce-based data that in turn references identical data stored at both the transmitter site and the user site. The core technology that will facilitate the transmission, reception and and display of Holo-TV will be the use of reference-based data. The objects in an image are stored on the user's holographic smart device/TV as predefined and pre-rendered 3D objects and textures. The location, movement and orientation of those objects in XYZ space is guided by both the transmitted data and the user's data preferences. The algorithms necessary for this transmission are being created.

    I invite specialists and students to participate in this open-source collaboration that will bypass commercial interests and develop a Holographic Television transceiver process that surpasses the capabilities of all current data compression technologies and will speed up transmission and free up significant amounts of bandwidth for years to come.
VectorRave Flowchart Draft 1


Flowchart - Step 1     For beginners, here are websites addressing Vector-based HoloTV advances:

Vector-based video codec sample


Vector-based video could mean no more pixels

 

Holographic TV might be closer than you think

Here are the open-source Holo-TV issues and components I wish to address:
                                   

1) The Basic Concept of Holo-Vector Processing

2) Holo-TV Software

3) Holo-TV Hardware

4) Standardization

5) Implications of Virtual Reality Television

6) The Final Goal of a Believable Virtual Reality


My Holo-TV concept is called Vectorave A/V, a reference-based
form of broadcast and reception. Here are many of the factors
I have considered in the contemplation of the concept:

 

The 4 basic categories of Vectorave A/V are:

                                                a) Video
                                                b) Audio
                                                c) Virtual Reality
                                                d) Generic Data
                                                (I also consider Vectorave A/V to be

                                                an ideal data compression concept)


Here are more issues and components to consider 

regarding Vectorave/V:


1)     Prior Art

    a)  RaveGrid

     https://www.svgopen.org/2007/papers/RaveGrid/index.html
(Raster to vector Graphics for image data) version 2.5* was the leading image vectorization and image segmentation application available at one time,taking raster images and turning them into smaller, editable vector images in the SVG format.

    b) Star Trek NG Identity Crisis 
(a clear example of Holo-Vector Processing)

2)    Production Strategies

3)    Gigantic Polygon Meshes

4)    Vector Processing

5)    Hidden Markov models

6)    The Viterbi Algorithm

7)    Real-time motion blur and echo de-vectorization

8)    Lowest bandwidth date delivery

9)    Polylines

10)  Polygons

11)   Circles and Ellipses

12)   Bézier Curves

13)   Bezigons

14)   Automated 3D modeling

15)   In 3D computer graphics, vectorized surface representations       are most common (bitmaps can be used for special purposes     such as surface texturing, height-field data and bump).

 

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Dan Pestana
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