Dynamically updating media content for display to a user of a social network environment based on user interactions
US-10348792-B2 · Jul 9, 2019 · US
US11405545B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11405545-B2 |
| Application number | US-201816615413-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 23, 2018 |
| Priority date | May 23, 2017 |
| Publication date | Aug 2, 2022 |
| Grant date | Aug 2, 2022 |
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Disclosed are a storage apparatus, a mobile terminal and an image processing method thereof. The image processing method comprises the following steps: acquiring a feature index parameter of each image; acquiring an operation instruction, and classifying images according to the operation instruction; determining, according to the classification of the images, whether a user is satisfied with an image; and if it is determined that the user is satisfied with the image, correcting a photographing parameter of a camera of a mobile terminal according to a feature index parameter of the satisfactory image, such that an image photographed thereby better conforms to the requirements of the user. Therefore, the present invention can directly obtain an image that a user is satisfied with, thereby saving on the screening time for a user, and thus improving the user experience.
Opening claim text (preview).
What is claimed is: 1. A non-transitory storage device storing program instructions executable by a processor to perform operations of: obtaining a characteristic indication parameter of each of images; obtaining an operation instruction and classifying the images according to the operation instruction; determining whether a user satisfies with the images according to classifications of the images; if determining that the user satisfies with the images, then adjusting, according to the characteristic indication parameters of the images, an imaging parameter of a camera of the mobile terminal for multiple times until a ratio of the satisfying images to the unsatisfying images is larger than or equal to a predetermined threshold, such that the camera is capable of generating images that meet the user's demands. 2. The storage device of claim 1 , wherein the characteristic indication parameter comprises a peak signal-to-noise ratio (PSNR), a dynamic range, a resolution, a color accuracy, and an auto white balance error (AWB error). 3. The storage device of claim 1 , wherein the program instructions is executable by the processor to further perform operations of: classifying the image into uploaded images, deleted images, satisfying images or unsatisfying images according to the operation instruction; determining that the user satisfies with the images if the images are classified as the uploaded images or the satisfying images; and determining that the user does not satisfy with the images if the images are classified as the deleted images or the unsatisfying images. 4. The storage device of claim 1 , wherein the program instructions are executable by the processor to perform an operation of: storing the characteristic indication parameter in the storage device or updating the characteristic indication parameter to a cloud server. 5. An image processing method of a mobile terminal, comprising: obtaining a characteristic indication parameter of each of images; obtaining an operation instruction and classifying the images according to the operation instruction; determining whether a user satisfies with the images according to classifications of the images; and if determining that the user satisfies with the images, then adjusting, according to the characteristic indication parameters of the images, an imaging parameter of a camera of the mobile terminal for multiple times until a ratio of the satisfying images to the unsatisfying images is larger than or equal to a predetermined threshold, such that the camera is capable of generating images that meet the user's demands. 6. The image processing method of claim 5 , wherein the characteristic indication parameter comprises a peak signal-to-noise ratio (PSNR), a dynamic range, a resolution, a color accuracy, and an auto white balance error (AWB error). 7. The image processing method of claim 5 , wherein the step of classifying the images according to the operation instruction comprises: classifying the image into uploaded images, deleted images, satisfying images or unsatisfying images according to the operation instruction; and the step of determining whether the user satisfies with the images according to classifications of the images comprises: determining that the user satisfies with the images if the images are classified as the uploaded images or the satisfying images; and determining that the user does not satisfy with the images if the images are classified as the deleted images or the unsatisfying images. 8. The image processing method of claim 5 , further comprising: storing the characteristic indication parameter in the storage device; or updating the characteristic indication parameter to a cloud server. 9. A mobile terminal, comprising: a camera; a storage device, configured to storing program instructions; and a processor, configured to execute the program instructions to perform operations of: obtaining a characteristic indication parameter of each of images; obtaining an operation instruction and classifying the images according to the operation instruction; determining whether a user satisfies with the images according to classifications of the images; and if determining that the user satisfies with the images, then adjusting, according to the characteristic indication parameters of the images, an imaging parameter of a camera of the mobile terminal for multiple times until a ratio of the satisfying images to the unsatisfying images is larger than or equal to a predetermined threshold, such that the camera is capable of generating images that meet the user's demands. 10. The mobile terminal of claim 9 , wherein the characteristic indication parameter comprises a peak signal-to-noise ratio (PSNR), a dynamic range, a resolution, a color accuracy, and an auto white balance error (AWB error). 11. The mobile terminal of claim 9 , wherein the processor is further configured to execute the program instructions to perform operations of: classifying the image into uploaded images, deleted images, satisfying images or unsatisfying images according to the operation instruction; determining that the user satisfies with the images if the images are classified as the uploaded images or the satisfying images; and determining that the user does not satisfy with the images if the images are classified as the deleted images or the unsatisfying images. 12. The mobile terminal of claim 9 , wherein the processor is configured to execute the program instructions to perform an operation of: storing the characteristic indication parameter in the storage device or updating the characteristic indication parameter to a cloud server.
Computer-aided capture of images, e.g. transfer from script file into camera, check of taken image quality, advice or proposal for image composition or decision on when to take image · CPC title
Control of parameters via user interfaces · CPC title
Clustering; Classification · CPC title
for image or video messaging · CPC title
Indexing; Data structures therefor; Storage structures · CPC title
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