VISUAL ATTENTION APPARATUS AND CONTROL METHOD BASED ON MIND AWARENESS AND DISPLAY APPARATUS USING THE VISUAL ATTENTION APPARATUS

• US 20120189161A1
• Filed: 01/11/2012
• Published: 07/26/2012
• Est. Priority Date: 01/25/2011
• Status: Abandoned Application

• Current Assignee: Electronics and Telecommunications Research Institute
• Original Assignee: Electronics and Telecommunications Research Institute
• Inventors: Sohn, Sung Won, Chang, Seok Bae, Park, Chang Hyun
• Application Number:
  US13/347,866
• Publication Number:
  US 20120189161A1
• Time in Patent Office: Days
• US Class Current: 382/103
• CPC Class Codes: A61B 5/16 Devices for psychotechnics using teaching or educational appliances G09B1/00 - G09B7/00; Testing reaction times ; Devices for evaluating the psychological state
• CPC Class Codes: A61B 5/168 Evaluating attention deficit, hyperactivity
• CPC Class Codes: G06V 10/449 Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters

Abstract

Disclosed are a visual attention apparatus based on mind awareness and an image output apparatus using the same. Exemplary embodiments of the present invention can reduce data throughput by performing object segmentation and context analysis according to downsampling and colors and approximate shapes of input images so as to detect attention regions using extrinsic visual attention and intrinsic visual attention. In addition, the exemplary embodiments of the present invention can detect the attention regions having different viewpoints for each user by detecting the attention regions due to the extrinsic visual attention and the intrinsic visual attention and processing and displaying the attention regions as various regions of interest, thereby increasing the image immersion and the utility of contents.

Claims

1. A visual attention apparatus based on mind awareness, comprising:

a preprocessor downsampling input images to perform filtering, object segmentation, and context analysis;

a context collection unit collecting context information for context recognition;

a memory storage unit storing context information collected in the context collection unit and favorable impressions of the context information with the objects;

a visual attention processor receiving the filtered images from the preprocessor, the segmented objects, and the context analysis results to collect data from the input images through an extrinsic visual attention model and an intrinsic visual attention model due to command words and the context information and favorable impression stored in the memory storage unit, thereby setting an extrinsic attention region and an intrinsic attention region; and

a visual attention decision unit deciding the attention regions for the extrinsic attention regions and the intrinsic attention regions set in the visual attention processor according to a decision rule.

2. The visual attention apparatus of claim 1, wherein the memory storage unit includes:

a short-term storage unit storing the collected context information; and

a long-term storage unit storing the favorable impressions with objects.

3. The visual attention apparatus of claim 1, wherein the context information includes a purpose, a position, time, user emotion information, social network information, web search information, and shopping information.

4. The visual attention apparatus of claim 3, wherein the user emotion information includes information on a user and the expression, voice, and brain wave of a user.

5. The visual attention apparatus of claim 1, wherein the extrinsic visual attention model includes:

a feature map generator generating a feature map of colors, brightness, and directivity for the filtered images;

a saliency map generator generating a saliency map based on the feature map; and

an extrinsic attention region setting unit setting an extrinsic attention region based on the saliency map.

6. The visual attention apparatus of claim 1, wherein the intrinsic visual attention model includes:

an object recognition unit recognizing the objects segmented in the preprocessor to label each object;

a mind awareness unit establishing favorable impressions with the objects by performing text mining on the context information stored in the memory storage unit and the objects labeled in the object recognition unit and storing the favorable impressions in the memory storage unit;

a command controller setting correlation with the objects labeled in the object recognition unit according to command instructions; and

an intrinsic attention region setting unit setting the intrinsic attention region through the favorable impression established in the mind awareness unit and the correlation set in the command controller.

7. The visual attention apparatus of claim 1, wherein application of the extrinsic visual attention model is decided according to the decision rule in the visual attention decision unit.

8. The visual attention apparatus of claim 7, wherein the decision rule is decided by a priority according to a risk related object, an unexpected object, a unique object, a purpose, and a preference.

9. A control method of a visual attention apparatus based on mind awareness, comprising:

collecting context information for context recognition;

performing downsampling on input images;

filtering the downsampled images and then performing object segmentation and context analysis;

collecting data from the input images through an extrinsic visual attention model and an intrinsic visual attention model due to the filtered images, the segmented objects, the context analysis results, command words, and the context information to set attention regions; and

deciding the attention regions for the set attention regions according to a decision rule.

10. The control method of claim 9, wherein the context information includes a purpose, a position, time, user emotion information, social network information, web search information, and shopping information.

11. The control method of claim 10, wherein the user emotion information includes information on a user and an expression, a voice, and a brain wave of a user.

12. The control method of claim 9, wherein the decision rule is decided by priority according to a risk related object, an unexpected object, a unique object, a purpose, and a preference.

13. An image output apparatus using a visual attention apparatus, comprising:

a user input unit inputting context information including user emotion information;

a visual attention apparatus detecting attention regions for input images based on the user emotion information and the context information input through the user input unit; and

an image processor processing images for the input images, displaying the processed images on a display, processing the attention regions detected in the visual attention apparatus as an image of interest and displaying the processed attention regions on the display.

14. The image output apparatus of claim 13, wherein the attention regions are subjected to zoom-in processing when being processed as an image of interest in the image processor.

15. The image output apparatus of claim 13, wherein the attention regions are subjected to blinking processing when being processed as an image of interest in the image processor.

16. The image output apparatus of claim 13, further comprising a storage unit storing the input images and a plurality of interest images corresponding to the plurality of attention regions corresponding to the input images.

17. The image output apparatus of claim 16, wherein an image of interest corresponding to the attention regions are read from the storage unit and are processed when being processed as the interest regions in the image processor.