METHODS AND SYSTEMS FOR DIFFERENTIATING SYNTHETIC AND NON-SYNTHETIC IMAGES
First Claim
1. A method comprising:
- receiving an image;
analyzing, using a processor of a computer system, the received image to produce analyzing results;
assigning, based on the analyzing results, an image type to the received image, wherein the image type corresponds to at least one of;
a synthetic image type for graphically-rendered images or a natural image type; and
transcoding the received image based on the image type.
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Accused Products
Abstract
The techniques introduced here include a system and method for transcoding multimedia content based on the results of content analysis. The determination of specific transcoding parameters, used for transcoding multimedia content, can be performed by utilizing the results of content analysis of the multimedia content. One of the results of the content analysis is the determination of image type of any images included in the multimedia content. The content analysis uses one or more of several techniques, including analyzing content metadata, examining colors of contiguous pixels in the content, using histogram analysis, using compression distortion analysis, analyzing image edges, or examining user provided inputs. Transcoding the multimedia content can include adapting the content to the constraints in delivery and display, processing and storage of user computing devices.
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Citations
20 Claims
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1. A method comprising:
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receiving an image; analyzing, using a processor of a computer system, the received image to produce analyzing results; assigning, based on the analyzing results, an image type to the received image, wherein the image type corresponds to at least one of;
a synthetic image type for graphically-rendered images or a natural image type; andtranscoding the received image based on the image type.
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2. The method of claim 1, wherein analyzing the received image comprises compression distortion analysis, wherein the compression distortion analysis includes analysis of distortion between the received image and a processed version of the received image.
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3. The method of claim 2, wherein the analysis of distortion between the received image and the processed version of the received image is performed using one or more of:
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a Peak Signal-to-Noise Ratio (PSNR) index;
ora structural similarity (SSIM) index.
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4. The method of claim 2, further comprising:
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identifying that the image type is the synthetic image type if the distortion is greater than a specified threshold; and identifying that the image type is the natural image type if the distortion is less than the specified threshold.
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5. The method of claim 1, wherein analyzing the received image comprises contiguous pixels analysis, wherein the contiguous pixels analysis includes computing whether a number of pixel groups from the received image is above a color continuity threshold, wherein the color continuity threshold corresponds to a distinction in image types.
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6. The method of claim 5, wherein the contiguous pixels analysis comprises identifying that a first pixel of the contiguous pixels and a second pixel of the contiguous pixels are of similar color when one or more of a hue value or a saturation value associated with the first pixel and the second pixel are within a specified threshold level of each other.
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7. The method of claim 1, wherein analyzing the received image comprises an analysis of edges detected in the received image.
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8. A non-transitory computer-readable storage medium storing instructions that, when executed by a computing system, cause the computing system to perform operations comprising:
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receiving an image; analyzing the received image to produce analyzing results; and assigning, based on the analyzing results, an image type to the received image, wherein the image type corresponds to at least one of;
a synthetic image type for graphically-rendered images or a natural image type.
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9. The computer-readable storage medium of claim 8, wherein the operations further comprise:
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identifying a plurality of transcoding parameters, wherein at least one of the transcoding parameters is selected based on the image type assigned to the received image; and transcoding the received image using the plurality of transcoding parameters.
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10. The computer-readable storage medium of claim 9, wherein the transcoding the received image comprises converting the image from one format to another based on whether the image type is the synthetic image type.
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11. The computer-readable storage medium of claim 8,
wherein assigning the image type comprises assigning the natural image type; - and
wherein the operations further comprise determining, based on the natural image type being assigned to the received image, to run facial recognition on the received image.
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12. The computer-readable storage medium of claim 8,
wherein assigning the image type comprises assigning the natural image type; - and
wherein the operations further comprise selecting, based on the natural image type being assigned to the received image, a set of photo editing tools to provide to a user that correspond to natural images.
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13. The computer-readable storage medium of claim 12, wherein the set of photo editing tools comprises a red eye reduction tool.
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14. The computer-readable storage medium of claim 8, wherein the image type further corresponds to one or more of a color image or a black-and-white image.
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15. The computer-readable storage medium of claim 9, wherein transcoding the received image comprises adding redundancy to protect against data loss.
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16. The computer-readable storage medium of claim 9,
wherein assigning the image type comprises assigning the natural image type; - and
wherein transcoding the received image comprises converting, based on the natural image type being assigned to the received image, the received image into a GIF compression format.
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17. The computer-readable storage medium of claim 9,
wherein assigning the image type comprises assigning the synthetic image type; - and
wherein transcoding the received image comprises setting, based on the synthetic image type being assigned to the received image, a parameter indicating that no resizing of the received image should be performed.
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18. A system comprising:
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a memory; one or more processors; an interface configured to receive an image; and a content analyzer configured to; analyze the received image to produce analyzing results; and assign, based on the analyzing results, an image type to the received image, wherein the image type corresponds to at least one of;
a synthetic image type for graphically-rendered images or a natural image type.
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19. The system of claim 18 further comprising a transcoder configured to identify a transcoding process to apply to the received image by one or more of:
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identifying whether a compression is to be applied to the received image based on the image type assigned to the received image; identifying a type of compression to be applied to the received image based on the image type assigned to the received image; identifying one or more of a type or intensity of size reduction to be applied to the received image based on the image type assigned to the received image; identifying one or more of a type or intensity of color reduction to be applied to the received image based on the image type assigned to the received image;
orany combination thereof.
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20. The system of claim 18, wherein:
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the image type is the natural image type; and the received image is one or more of; a photograph; a digital version of a photograph, wherein the digital version is generated by scanning; a camera-produced image;
orany combination thereof.
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Specification