Texture replacement system in a multimedia

1. A system for texture replacement in a multimedia, comprising:

a segmentation module, wherein the segmentation module segments the multimedia to a background region with one or more textures and a foreground region, and compares the one or more textures with pre-defined textures to generate one or more identified textures, further wherein the segmentation module comprising:

a portrait map unit, wherein the portrait: map unit protects the foreground region; and

a texture map unit, wherein the texture map unit replaces the one or more identified textures with a texture template;

a tracking module, wherein the tracking module comprising:

a first tracker unit, wherein the first tracker unit tracks feature matching of the one or more identified textures to guide the texture template; and

a second tracker unit, wherein the second tracker unit tracks movement of the background region and the foreground region, wherein the movement of background region guides a movement of the texture template;

a fusion module, wherein the fusion module adjusts color tone of the texture template based on the multimedia to generate a processed texture; and

a replacement module, wherein the replacement module replaces the one or more textures with the processed texture, and combines the processed texture with the foreground region to form a texture replaced multimedia.

2. The system of claim 1 , wherein the system is configured with an electronic device.

3. The system of claim 2 , wherein the electronic device is a smart phone, a tablet or a camera.

4. The system of claim 2 , wherein the pre-defined textures are stored in a memory of the electronic device.

5. The system of claim 1 , wherein the multimedia is either of an image, a video, an animation.

6. The system of claim 1 , wherein the segmentation module uses artificial intelligence and machine learning algorithm to segment the background section and the foreground section.

7. The system of claim 6 , wherein the segmentation module uses artificial intelligence and machine learning algorithm for comparing the one or more textures with pre-defined textures to generate one or more identified textures.

8. The system of claim 1 , wherein the portrait map unit protects the foreground region by using a portrait mask.

9. The system of claim 1 , wherein the feature matching of the one or more identified textures is based on an optical flow algorithm.

10. The system of claim 9 , wherein the optical flow algorithm determines pattern of apparent motion of objects, surfaces, and edges in the multimedia.

11. The system of claim 1 , wherein the feature matching of the one or more identified textures is based on a feature mapping algorithm.

12. The system of claim 11 , wherein the feature mapping algorithm determines pattern of changing scale, intensity, and rotation.

13. The system of claim 2 , wherein guiding the movement of the texture template is based on sensing the movement by a motion sensor of the electronic device.

14. The system of claim 13 , wherein the motion sensor is an accelerometer or a Gyro-meter.

15. The system of claim 13 , wherein the motion is either of a rotation motion, a translation motion and a scaling motion.

16. The system of claim 1 , wherein the fusion module is based on a Generative adversarial networks (GAN) model.

17. The system of claim 1 , wherein the fusion module comprises an encoder for encoding the one or more identified textures and the template texture to produce the processed texture.

18. The system of claim 1 , wherein the fusion module comprises a decoder for decoding the processed texture to the one or more identified textures.

19. A method for replacing a texture in a multimedia, wherein the method comprising: segmenting one or more textures from a background region and a foreground region, wherein the one or more textures are compared with a plurality of pre-defined textures to generate one or more identified textures;

tracking movement of the foreground region and the pre-defined textures for simulating the texture movement;

adjusting color tone of a texture template to be consistent with at least one of the one or more identified textures, wherein the texture template is retrieved for a texture selected by user from the one or more identified textures to form a processed texture;

replacing the processed texture with the selected texture; and

merging the processed texture with the foreground region forming a texture replaced multimedia.