Information processing apparatus, information processing method and program

A computer-implemented information processing method for an information processing apparatus which arithmetically operates a characteristic amount of content data, comprising steps performed by a computer of:

• the computer using a low level characteristic amount extraction expression, which receives the content data or meta data corresponding to the content data as an input and outputs a low level characteristic amount, to arithmetically operate the low level characteristic amount;
• the computer using a high level characteristic amount extraction expression, which receives the arithmetically operated low level characteristic amount as an input and outputs a high level characteristic amount representative of a characteristic of the content data, to arithmetically operate the high level characteristic amount;
• the computer calculating an error between the arithmetically operated high level characteristic amount and a high level characteristic amount obtained in advance and corresponding to the content data;
• the computer producing an error estimation expression, which receives the low level characteristic amount as an input and outputs the error, by learning wherein the calculated error is used as teacher data;
• and
• the computer applying, when the high level characteristic amount corresponding to the content data is to be acquired, the arithmetically operated low level characteristic amount to the produced error estimation expression to estimate the corresponding error and cause the high level characteristic amount to be arithmetically operated in response to the estimated error.

A computer program, tangibly embodied in a computer-readable storage device, for arithmetically operating a characteristic amount of content data, the program causing a computer to execute a process which comprises the steps of:

• using a low level characteristic amount extraction expression, which receives the content data or meta data corresponding to the content data as an input and outputs a low level characteristic amount, to arithmetically operate the low level characteristic amount;
• using a high level characteristic amount extraction expression, which receives the arithmetically operated low level characteristic amount as an input and outputs a high level characteristic amount representative of a characteristic of the content data, to arithmetically operate the high level characteristic amount;
• calculating an error between the arithmetically operated high level characteristic amount and a high level characteristic amount obtained in advance and corresponding to the content data;
• producing an error estimation expression, which receives the low level characteristic amount as an input and outputs the error, by learning wherein the calculated error is used as teacher data;
• and
• applying, when the high level characteristic amount corresponding to the content data is to be acquired, the arithmetically operated low level characteristic amount to the produced error estimation expression to estimate the corresponding error and cause the high level characteristic amount to be arithmetically operated in response to the estimated error.

An information processing apparatus which arithmetically operates a characteristic amount of content data, comprising:

• a first arithmetic operation section configured to use a low level characteristic amount extraction expression, which receives the content data or meta data corresponding to the content data as an input and outputs a low level characteristic amount, to arithmetically operate the low level characteristic amount;
• a second arithmetic operation section configured to use a high level characteristic amount extraction expression, which receives the low level characteristic amount arithmetically operated by said first arithmetic operation section as an input and outputs a high level characteristic amount representative of a characteristic of the content data, to arithmetically operate the high level characteristic amount;
• a calculation section configured to calculate an error between the high level characteristic amount arithmetically operated by said second arithmetic operation section and a high level characteristic amount obtained in advance and corresponding to the content data;
• a production section configured to produce an error estimation expression, which receives the low level characteristic amount as an input and outputs the error, by learning wherein the error calculated by said calculation section is used as teacher data;
• and
• an arithmetic operation control section configured to apply, when the high level characteristic amount corresponding to the content data is to be acquired, the low level characteristic amount arithmetically operated by said first arithmetic operation section to the error estimation expression produced by said production section to estimate the corresponding error and cause said second arithmetic operation section to arithmetically operate the high level characteristic amount in response to the estimated error.