Method for configuring a multiviewer as well as multiviewer

Patent metadata

Field	Value
Publication number	US-11012750-B2
Application number	US-201816190971-A
Country	US
Kind code	B2
Filing date	Nov 14, 2018
Priority date	Nov 14, 2018
Publication date	May 18, 2021
Grant date	May 18, 2021

Abstract

A method for configuring a multiviewer of at least one service having at least one sensor providing a sensor signal, comprising: specifying at least one characteristic feature, extracting for each of the at least one sensor signals at least one characteristic feature vector representing at least the at least one characteristic feature of the sensor signal, and arranging the sensors signals in a two-dimensional matrix in such a manner that a distance is minimized, the distance being the distance between at least one characteristic feature vector of one of the sensor signals and the corresponding characteristic feature vector of at least one neighboring sensor signal, the at least one neighboring sensor signal being an adjacent neighbor to the one sensor signal in the matrix. Further, a multiviewer is shown.

First claim

The embodiments of the invention in which an exclusive property or privilege is claimed are defined as follows:

1. A method for configuring a multiviewer of at least one service being at least one of an audio service, a video service and a data service, said at least one service having at least one sensor providing a sensor signal, said method comprising:
specifying at least one characteristic feature;
extracting for each of said at least one sensor signal at least one characteristic feature vector representing at least said at least one characteristic feature of said sensor signal;
arranging said sensors signals in a two-dimensional matrix in such a manner that a distance is minimized, said distance being the distance between at least one characteristic feature vector of one of said sensor signals and said corresponding characteristic feature vector of at least one neighboring sensor signal, said at least one neighboring sensor signal being an adjacent neighbor to said one sensor signal in said matrix; and
displaying said sensor signals arranged in the two-dimensional matrix on a display device in said two-dimensional matrix.

2. The method according to claim 1 , wherein said distance is determined using at least one of a Euclidian vector distance function and a Manhattan distance function.

3. The method according to claim 1 , wherein a sum of said distances of all sensor signals with all of their adjacent neighbors in said matrix is minimized.

4. The method according to claim 1 , wherein said adjacent neighbors are adjacent on at least one of an upper side, a lower side, a right side and a left side of said one sensor signal.

5. The method according to claim 1 , wherein said at least one sensor is at least one of a probe and a source.

6. The method according to claim 1 , wherein said at least one characteristic feature vector is based on and/or includes at least one of the following properties of said sensor signal: color of transmitted image, subtitles, bit rate, data rate, quality, media type, meta data, type of service, type of sensor, transmission standard, name of service and origin of service.

7. The method according to claim 1 , wherein at least one of said extracting, said arranging and said minimizing is carried out by a stochastic optimization algorithm.

8. The method according to claim 1 , wherein at least one of said extracting, said arranging and said minimizing is carried out by simulated annealing.

9. The method according to claim 1 , wherein at least one of said extracting, said arranging and said minimizing is carried out by an artificial neural network.

10. The method according to claim 9 , wherein said artificial neural network is a self-organizing map.

11. The method according to claim 1 , wherein said resulting matrix represents a logical grouping of said sensor signals according to said specified at least one characteristic feature.

12. The method according to claim 1 , wherein said resulting matrix is used for the configuration of at least one of a visualization in a monitoring output, a web based user interface and any other suitable means for interfacing with the user.

13. A multiviewer for visualizing at least one service being at least one of an audio service, a video service and a data service, said at least one service having at least one sensor providing a sensor signal, comprising a control unit configured to:
specify at least one characteristic feature or receive a characteristic feature specified by a user;
extract for each of said at least one sensor signal at least one characteristic feature vector representing at least said at least one characteristic feature of said sensor signal;
arrange said sensor signals in a two-dimensional matrix in such a manner that a distance is minimized, said distance being the distance between at least one characteristic feature vector of one of said sensor signals and said corresponding characteristic feature vector of at least one neighboring sensor signal, said at least one neighboring sensor signal being an adjacent neighbor to said one sensor signal in said matrix; and
transmit said arranged sensor signals to a display device for displaying said sensor signals arranged in said two-dimensional matrix.

14. The multiviewer according to claim 13 , wherein said multiviewer is at least one of a visualization system and a monitoring system.

15. The multiviewer according to claim 13 , wherein said control unit is configured to arrange said sensors signals automatically in said two-dimensional matrix.

16. The multiviewer according to claim 13 , wherein said control unit is configured to arrange said characteristic feature vectors in a two-dimensional matrix in such a manner that a distance is minimized, said distance being the distance between adjacent neighbors of said at least one characteristic feature vectors in said two-dimensional matrix.

17. The method according to claim 1 , wherein said sensors signals are arranged automatically in said two-dimensional matrix.

18. The method according to claim 1 , wherein said characteristic feature vectors are arranged in a two-dimensional matrix in such a manner that a distance is minimized, said distance being the distance between adjacent neighbors of said at least one characteristic feature vectors in said two-dimensional matrix.

19. The method according to claim 1 , wherein the sensor signals are displayed discretely from one another.

20. The method according to claim 1 , wherein at least one of the at least one service provides a stream of data.

Assignees

• Rohde & Schwarz

Inventors

• Schmid Bjoern
• Moukayed Fadi

Classifications

• H04N7/181 Primary

  for receiving images from a plurality of remote sources · CPC title

• G06V10/751

  Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching · CPC title

• H04N21/47 Primary

  End-user applications · CPC title

• G06F18/23

  Clustering techniques · CPC title

• G06F18/22

  Matching criteria, e.g. proximity measures · CPC title