Content-based multimedia searching system using color distortion data

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 the color distortion data;
• restoring a value of the features to values corresponding to 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 a distorting 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 the 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 distorting 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 the 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 the same as or greater than a predetermined critical value and a chromatic value the 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 distorting color, if both of the two variation values calculated as above are the same as or less than a predetermined critical value and a difference between the two average hue values is the 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 the same as or less than a predetermined critical value for each divided area, and register the average hue as a candidate of distorting color for a dark color only when the variation is the 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 the same as or greater than a predetermined critical value and a chromatic value the same as or less than a predetermined critical value for each divided area, and register the average hue as a candidate of distorting color for a bright color only when the variation is the same as or less than a predetermined critical value;
• calculating an average of the hues registered as the candidate of distorting color for a dark color and an average of the hues registered as the candidate of distorting color for a bright color, and designating a re-averaged hue value of the two average hue values as a distorting hue if a difference between the two average hue values is the 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 the entire image;
• and
• designating the ratio as an intensity of the color distortion.