JP2004038480A5 - - Google Patents

Claims (22)

  An image obtained by acquiring spatial frequency information and chromaticity information for each predetermined block from compressed and recorded image data and using them for searching for a noticed image in the compressed and recorded image data Recognition method.   In the process of decompressing the compressed image data compressed with a plurality of pixels as one compression unit, data including two-dimensional spatial frequency information is extracted for each of the plurality of partial pixel regions that are the compression units, and the extracted Detecting whether or not the feature value of the AC frequency component of the partial region is within the predetermined range of the target image feature amount, and determining whether or not each partial region is the target image target An image recognition method characterized by the above. An image recognition method that uses a process of restoring compressed data that includes an AC component in units of a plurality of pixels using orthogonal transformation to a two-dimensional spatial frequency domain to uncompressed data,
A data extraction step of extracting data including an AC frequency component for a plurality of partial pixel areas that are units of compression when the compressed data is restored to non-compressed data;
Based on whether or not the feature amount of the AC frequency component of the partial region extracted by the data extraction step is within a predetermined range of the target image feature amount, each of the extracted partial regions is the target image target portion. And a determination step of determining whether or not the image has entered the image recognition method. An image recognition method that uses a process of restoring compressed data that includes an AC component in units of a plurality of pixels using orthogonal transformation to a two-dimensional spatial frequency domain to uncompressed data,
A data extraction step of extracting data including an AC frequency component for a plurality of partial pixel areas that are units of compression when the compressed data is restored to non-compressed data;
Based on whether each value of the AC frequency component and the chromaticity feature amount of the partial region extracted by the data extraction step are within the predetermined range of the target image feature amount, the partial region is the target image target. An image recognition method comprising: a determination step of determining whether or not the portion is included. An image recognition method that uses a process of restoring compressed data that includes an AC component in units of a plurality of pixels using orthogonal transformation to a two-dimensional spatial frequency domain to uncompressed data,
A data extraction step of extracting data including an AC frequency component for a plurality of partial pixel areas that are units of compression when the compressed data is restored to non-compressed data;
An image region dividing step of dividing the image region into a plurality of partial regions according to the feature amount of the AC frequency component extracted by the data extraction step;
Based on whether or not the feature value of chromaticity in the range of each partial region divided by the image region dividing step is within the predetermined range of the target image feature amount, each partial region is a target image target portion. And a determination step of determining whether or not the image is included.   The image recognition method according to claim 1, wherein the compressed image data is Jpeg file data.   The arrangement information in the whole image of the extracted partial area is added to the information for determining whether or not the target image target part is included in any one of claims 2 to 6. The image recognition method according to item.   The continuity information adjacent to the extracted partial region is added to the information for determining whether or not the target image target portion is included in the vertical and horizontal directions. 8. The image recognition method according to any one of items 7.   The DC component of the extracted partial region is added to information for determining whether or not the target image target portion is included in any one of claims 2 to 7. Image recognition method.   In the determination of the target image target part, when a plurality of target image target part candidates are detected within the set range, the target image target part candidate with the largest number of adjacent consecutive consecutive detected partial areas is noted. The image recognition method according to claim 7, wherein the image recognition method is determined to correspond to an image target portion.   In the partial area continuously adjacent to the partial area including the target image target part candidate having the largest number of adjacent consecutive detected partial areas, the target image target part candidate whose chromaticity is within the appropriate range is included. The image recognition method according to claim 10, wherein the image is a focused image.   12. The probability of detection of a target image detected at a content rate of a partial region that is the second longest in the detected target image region in the detected target image region is obtained. Image recognition method.   13. The image recognition method according to claim 12, wherein the image correction strength is determined using the probability of the detected target image.   The brightness information in the detected image area of interest is created, and exposure correction for the entire image is performed based on the created brightness information. The image recognition method as described.   An image obtained by acquiring spatial frequency information and chromaticity information for each predetermined block from compressed and recorded image data and using them for searching for a noticed image in the compressed and recorded image data Recognition device.   In the process of decompressing the compressed image data compressed with a plurality of pixels as one compression unit, data including two-dimensional spatial frequency information is extracted for each of the plurality of partial pixel regions that are the compression units, and the extracted Detecting whether or not the feature value of the AC frequency component of the partial region is within the predetermined range of the target image feature amount, and determining whether or not each partial region is the target image target An image recognition apparatus. An image recognition apparatus that uses a process of restoring compressed data that includes an AC component in units of a plurality of pixels using orthogonal transformation to a two-dimensional spatial frequency domain to uncompressed data,
A data extraction means for extracting data including an AC frequency component for a plurality of partial pixel areas that are units of compression when the compressed data is restored to non-compressed data;
Based on whether or not the feature quantity of the AC frequency component of the partial area extracted by the data extraction means is within the predetermined range of the target image feature quantity, each of the extracted partial areas is the target image target part. An image recognition apparatus comprising: a determination unit that determines whether or not the camera is in a state. An image recognition apparatus that uses a process of restoring compressed data that includes an AC component in units of a plurality of pixels using orthogonal transformation to a two-dimensional spatial frequency domain to uncompressed data,
A data extraction means for extracting data including an AC frequency component for a plurality of partial pixel areas that are units of compression when the compressed data is restored to non-compressed data;
Based on whether each value of the AC frequency component of the partial area extracted by the data extraction means and the chromaticity feature amount are within the predetermined range of the target image feature amount, the partial region is the target image target. An image recognition apparatus comprising: determination means for determining whether or not a portion is included. An image recognition apparatus that uses a process of restoring compressed data that includes an AC component in units of a plurality of pixels using orthogonal transformation to a two-dimensional spatial frequency domain to uncompressed data,
A data extraction means for extracting data including an AC frequency component for a plurality of partial pixel areas that are units of compression when the compressed data is restored to non-compressed data;
Image area dividing means for dividing the image area into a plurality of partial areas based on the feature amount of the AC frequency component extracted by the data extracting means;
Based on whether or not the chromaticity feature amount in the range of each partial region divided by the image region dividing means is within the predetermined range of the target image feature amount, each partial region is the target image target portion. An image recognition apparatus comprising: determination means for determining whether or not the image is included. A computer program capable of executing an image recognition method that uses a process of restoring compressed data including an AC component in units of a plurality of pixels using orthogonal transformation to a two-dimensional spatial frequency domain to uncompressed data,
A data extraction step of extracting data including an AC frequency component for a plurality of partial pixel areas that are units of compression when the compressed data is restored to non-compressed data;
Based on whether or not the feature amount of the AC frequency component of the partial region extracted by the data extraction step is within a predetermined range of the target image feature amount, each of the extracted partial regions is the target image target portion. A computer program for causing a computer to execute a determination step of determining whether or not a computer is in a computer. A computer program capable of executing an image recognition method that uses a process of restoring compressed data including an AC component in units of a plurality of pixels using orthogonal transformation to a two-dimensional spatial frequency domain to uncompressed data,
A data extraction step of extracting data including an AC frequency component for a plurality of partial pixel areas that are units of compression when the compressed data is restored to non-compressed data;
Based on whether each value of the AC frequency component and the chromaticity feature amount of the partial region extracted by the data extraction step are within the predetermined range of the target image feature amount, the partial region is the target image target. A computer program for causing a computer to execute a determination step of determining whether or not a portion is included. A computer program capable of executing an image recognition method that uses a process of restoring compressed data including an AC component in units of a plurality of pixels using orthogonal transformation to a two-dimensional spatial frequency domain to uncompressed data,
A data extraction step of extracting data including an AC frequency component for a plurality of partial pixel areas that are units of compression when the compressed data is restored to non-compressed data;
An image region dividing step of dividing the image region into a plurality of partial regions according to the feature amount of the AC frequency component extracted by the data extraction step;
Based on whether or not the feature value of chromaticity in the range of each partial region divided by the image region dividing step is within the predetermined range of the target image feature amount, each partial region is a target image target portion. A computer program for causing a computer to execute a determination step of determining whether or not a computer is contained.