REAL TIME OVERLAY PLACEMENT IN VIDEOS FOR AUGMENTED REALITY APPLICATIONS

• US 20200082574A1
• Filed: 02/01/2019
• Published: 03/12/2020
• Est. Priority Date: 09/06/2018
• Status: Active Grant

• Current Assignee: TATA Consultancy Services Limited (Tata Sons Pvt Ltd.)
• Original Assignee: TATA Consultancy Services Limited (Tata Sons Pvt Ltd.)
• Inventors: HEGDE, Srinidhi, HEBBALAGUPPE, Ramya
• Granted Patent: US 10,636,176 B2
• Time in Patent Office: Days
• CPC Class Codes: G06T 11/00 2D [Two Dimensional] image generation
• CPC Class Codes: G06T 19/00 Manipulating 3D models or images for computer graphics
• CPC Class Codes: G06T 2219/004 Annotating, labelling
• CPC Class Codes: G06T 3/20 Linear translation of whole images or parts thereof, e.g. panning

Abstract

Textual overlays/labels add contextual information in Augmented Reality (AR) applications. The spatial placement of labels is a challenging task particularly for real time videos. Embodiments of the present disclosure provide systems and methods for optimal placement of contextual information for Augmented Reality (AR) applications to overcome the limitations of occlusion with object/scene of interest through optimally placing labels aiding better interpretation of scene. This is achieved by combining saliency maps computed for each frame of an input video with Euclidean distance between current and previous overall positions for each frame based on an initial overlay position of the label to calculate an updated overlay position for label placement in the video. The placement of overlays is formulated as an objective function that minimizes visual saliency around the object of interest and minimizes the temporal jitter facilitating coherence in real-time AR applications.

Claims

1. A processor implemented method, comprising:

receiving, in real time, (i) an input video comprising a plurality of frames and an object of interest in the plurality of frames, and (ii) a label for which an initial overlay position is pre-computed for placement on a center frame of the input video (202);

computing, in real time, a saliency map for each of the plurality of frames to obtain a plurality of saliency maps (204);

computing, in real time, for each of the plurality of frames, Euclidean distance between a current overlay position and a previous overlay position based on the initial overlay position of the label to obtain a plurality of Euclidean distances (206); and

calculating, in real time, an updated overlay position of the label for placement in the input video based on the plurality of saliency maps and the plurality of Euclidean distances (208)

2. The processor implemented method of claim 1, wherein the updated overlay position of the label is computed by combining the plurality of saliency maps and the plurality of Euclidean distances.

3. The processor implemented method of claim 1, wherein the Euclidean distance for each of the plurality of frames is computed for controlling, in real time, temporal jitter in a position of the label to be placed in the input video.

4. The processor implemented method of claim 1, further comprising shifting the label from the initial overlay position to the updated overlay position to minimize occlusion from viewing the object of interest (210).

5. The processor implemented method of claim 1, wherein a plurality of pixels corresponding to Euclidean distance between the current overlay position and the previous overlay position that is within a predefined threshold range are selected for shifting the label from initial overlay position to the updated overlay position.

6. A system (100), comprising:

a memory (102) storing instructions;

one or more communication interfaces (106); and

one or more hardware processors (104) coupled to the memory (102) via the one or more communication interfaces (106), wherein the one or more hardware processors (104) are configured by the instructions to;

receive, in real time, (i) an input video comprising a plurality of frames and an object of interest in the plurality of frames, and (ii) a label for which an initial overlay position is pre-computed for placement on a center frame of the input video;

compute, in real time, a saliency map for each of the plurality of frames to obtain a plurality of saliency maps;

compute, in real time, for each of the plurality of frames, Euclidean distance between a current overlay position and a previous overlay position based on the initial overlay position of the label to obtain a plurality of Euclidean distances; and

calculate, in real time, an updated overlay position of the label for placement in the input video based on the plurality of saliency maps and the plurality of Euclidean distances.

7. The system of claim 6, wherein the updated overlay position of the label is computed by combining the plurality of saliency maps and the plurality of Euclidean distances.

8. The system of claim 6, wherein the Euclidean distance for each of the plurality of frames is computed for controlling, in real time, temporal jitter in a position of the label to be placed in the input video.

9. The system of claim 6, wherein the one or more hardware processors are further configured to shift the label from the initial overlay position to the updated overlay position to minimize occlusion from viewing the object of interest.

10. The system of claim 6, wherein a plurality of pixels corresponding to Euclidean distance between the current overlay position and the previous overlay position that is within a predefined threshold range are selected for shifting the label from initial overlay position to the updated overlay position.

11. One or more non-transitory machine readable information storage mediums comprising one or more instructions which when executed by one or more hardware processors cause:

receiving, in real time, (i) an input video comprising a plurality of frames and an object of interest in the plurality of frames, and (ii) a label for which an initial overlay position is pre-computed for placement on a center frame of the input video;

computing, in real time, a saliency map for each of the plurality of frames to obtain a plurality of saliency maps;

computing, in real time, for each of the plurality of frames, Euclidean distance between a current overlay position and a previous overlay position based on the initial overlay position of the label to obtain a plurality of Euclidean distances; and

calculating, in real time, an updated overlay position of the label for placement in the input video based on the plurality of saliency maps and the plurality of Euclidean distances.

12. The one or more non-transitory machine readable information storage mediums of claim 11, wherein the updated overlay position of the label is computed by combining the plurality of saliency maps and the plurality of Euclidean distances.

13. The one or more non-transitory machine readable information storage mediums of claim 11, wherein the Euclidean distance for each of the plurality of frames is computed for controlling, in real time, temporal jitter in a position of the label to be placed in the input video.

14. The one or more non-transitory machine readable information storage mediums of claim 11, wherein the instructions which when executed by the one or more hardware processors further cause shifting the label from the initial overlay position to the updated overlay position to minimize occlusion from viewing the object of interest.

15. The one or more non-transitory machine readable information storage mediums of claim 11, wherein a plurality of pixels corresponding to Euclidean distance between the current overlay position and the previous overlay position that is within a predefined threshold range are selected for shifting the label from initial overlay position to the updated overlay position.