Linguistic Image Label Incorporating Decision Relevant Perceptual, Semantic, and Relationships Data

1 . A computer readable medium, comprising:

a first field containing first data associated with a pixel region of a digital image; and

a second field containing second data associated with a visual appearance of the pixel region.

2 . The computer readable medium of claim 1 , wherein the second data comprises:

a linguistic hedge; and

a modifier, wherein the linguistic hedge is associated with the modifier.

3 . A data processing system, comprising:

a processor; and

a memory device connected to the processor, wherein the memory device stores a linguistic image label processed by the processor, and wherein the linguistic image label includes a first field and a second field, wherein the first field contains first data associated with a pixel region of a digital image and the second field contains second data associated with a visual appearance of the pixel region.

4 . The data processing system of claim 3 , wherein the second data comprises:

a linguistic hedge; and

a modifier, wherein the linguistic hedge is associated with the modifier.

5 . A method, comprising:

creating a first data from an image that includes descriptive information of the image; and

populating a linguistic image label that includes a first field and a second field wherein the first field contains first data associated with a pixel region of a digital image and the second field contains second data associated with a visual appearance of the pixel region.

6 . The method of claim 5 , wherein a computer creates a first data from an image and populates the linguistic image label.

7 . The method of claim 5 , wherein a manual survey is utilized for creating the first data from the image.

8 . The method of claim 5 , wherein creating the first data from the image is accomplished by data mining.

9 . The method of claim 6 , wherein the computer utilizes a look-up table, the look-up tabling providing a translation of a semantic data into a second data, the second data being used to populate the linguistic image label.

10 . The method of claim 9 , wherein the look-up table comprises a first information look-up table and a second information look-up table, wherein the first information look-up table is used to create a linguistic hedge and the second information look-up table is used to create a modifier, the linguistic hedge being associated with the modifier.

11 . The method of claim 5 , wherein the second data comprises:

a linguistic hedge; and

a modifier, wherein the linguistic hedge is associated with the modifier.

12 . A computer readable medium having stored thereon a plurality of instructions, the plurality of instructions when executed by a computer, cause the computer to perform:

creating a first data from an image that includes descriptive information of the image; and

populating a linguistic image label that includes a first field and a second field wherein the first field contains first data associated with a pixel region of a digital image and the second field contains second data associated with a visual appearance of the pixel region.

13 . The computer readable medium of claim 12 , wherein a manual survey is utilized for creating the first data from the image.

14 . The computer readable medium of claim 12 , wherein creating the first data from the image is accomplished by data mining.

15 . The computer readable medium of claim 12 , wherein the computer utilizes a look-up table, the look-up tabling providing a translation of a semantic data into a third data, the third data utilized to populate the linguistic image label.

16 . The computer readable medium of claim 15 , wherein the look-up table comprises a first information look-up table and a second information look-up table, wherein the first information look-up table is utilized for creating a linguistic hedge and the second information look-up table is utilized for creating a modifier, the linguistic hedge being associated with the modifier.

17 . The computer readable medium of claim 12 , wherein the second data comprises:

a linguistic hedge; and

a modifier, wherein the linguistic hedge is associated with the modifier.

18 . A computer system, comprising:

a processor; and

memory coupled to the processor, the memory storing instructions;

wherein the instructions when executed by the processor cause the processor to:

create a first data from an image that includes descriptive information of the image; and

populate a linguistic image label that includes a first field and a second field wherein the first field contains first data associated with a pixel region of a digital image and the second field contains second data associated with a visual appearance of the pixel region.

19 . The computer system of claim 18 , wherein a manual survey is used to create the first data from the image.

20 . The computer system of claim 18 , wherein the processor further creates the first data from the image by data mining.

21 . The computer system of claim 18 , wherein the computer uses a look-up table, the look-up tabling providing a translation of a semantic data into a second data, the second data able to populate the linguistic image label.

22 . The computer system of claim 21 , wherein the look-up table comprises a first information look-up table and a second information look-up table, wherein the first information look-up table is used to create a linguistic hedge and the second information look-up table is used to create a modifier, the linguistic hedge being associated with the modifier.

23 . The computer system of claim 18 , wherein the second data comprises:

a linguistic hedge; and

a modifier, wherein the linguistic hedge is associated with the modifier.