Content-based multimedia searching system using color distortion data
AssigneeLG Electronics Inc.
InventorsJin Soo Lee, Hyun Jun Kim
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Abstract
Disclosed are methods for extracting color distortion data from multimedia data in a content-based multimedia search and methods for searching multimedia data based on the extracted color distortion data. This invention also provides a method for generating multimedia data in order to use in the content-based multimedia search. The color distortion data includes hues of the distorted color identifying which color affected such a distortion and intensity data representing how much color distortion data affected such a distortion.
Claims20
A content-based multimedia searching method using color distortion data, the method comprising:
- extracting color distortion data from multimedia data;
- restoring the distorted color of the multimedia data to the original color by using the extracted color distortion data;
- measuring a similarity between the multimedia data restored to the original color;
- and
- aligning the multimedia data on the basis of the measured similarity.
A content-based multimedia searching method using color distortion data, the method comprising:
- extracting color distortion data from multimedia data;
- extracting features to be used for the search;
- storing the extracted features and color distortion data;
- restoring the value of the features to values corresponding the features of the original color by using the stored color distortion data;
- measuring a similarity between the multimedia data by using the restored value of the features;
- and
- aligning the multimedia data on the basis of the measured similarity.
A content-based multimedia searching method using color distortion data, the method comprising:
- extracting a hue value of the distorted color as color distortion data from multimedia data;
- dividing an image into N*M number of local areas and extracting representative color values of each area as features to be used for the search;
- storing the extracted features and color distortion data;
- restoring the representative color values of each area to a value corresponding to the original color by using the hue value of the stored distorted color;
- measuring a similarity between the multimedia data by using the restored value of the features;
- and
- aligning the multimedia data on the basis of the measured similarity.
A method for extracting color distortion data, comprising:
- calculating an average hue and a variation of the hue values for all pixels having a brightness value and a chromatic value, which are same as or less than a predetermined critical value;
- calculating an average hue and a variation of the hue values for all pixels having a brightness value same as or greater than a predetermined critical value and a chromatic value same as or less than a predetermined critical value;
- and
- designating a re-averaged value of the two average hue values as a hue of the distorted color, if both of the two variation values calculated as above are same as or less than a predetermined critical value and a difference between the two average hue values is same as or less than a predetermined critical value.
A method for extracting color distortion data, comprising:
- dividing an image into N*M number of areas;
- calculating an average hue and a variation of the hue value for all pixels having a brightness value and a chromatic value same as or less than a predetermined critical value for each divided area, and register the average hue as a candidate of distorted color for a dark color only when the variation is same as or less than a predetermined critical value;
- calculating an average hue and a variation of the hue value for all pixels having a brightness value same as or greater than a predetermined critical value and a chromatic value same as or less than a predetermined critical value for each divided area, and register the average hue as a candidate of distorted color for a bright color only when the variation is same as or less than a predetermined critical value;
- calculating an average of the hues registered as the candidate of distorted color for a dark color and an average of the hues registered as the candidate of distorted color for a bright color, and designating a re-averaged hue value of the two average hue values as a distorted hue if a difference between the two average hue values is same as or less than a predetermined critical value;
- calculating a ratio of the number of the registered candidate hues to N*M number of object areas divided from entire image;
- and
- designating the ratio as an intensity of the color distortion.
A method for generating multimedia data in order to use in a content-based multimedia search, comprising:
- incorporating feature information;
- and
- incorporating color distortion data;
- wherein the color distortion data comprises hues of the distorted color identifying which color affected such a color distortion and intensity data representing how much the color distortion data affected such a distortion.
A content-based multimedia searching system, comprising:
- a feature extracting unit including a feature extracting module for extracting necessary features for the search, a color distortion data extracting module for extracting color distortion data, and a storing module for storing extracted features and color distortion data;
- and
- a search unit including a color restoring module for receiving stored features and color distortion data and restoring distorted color value into original color value using the color distortion data, a similarity calculation module for calculating a similarity between object data, and a data alignment module for displaying the object data based on the calculated similarity.
Dependencies are inferred from the claim text.