EP-4742073-A1 - DATA PROCESSING METHOD AND RELATED DEVICE

Abstract

This application relates to the field of media applications and provides a data processing method. The method includes: obtaining a media asset, where the media asset includes media content, and the media asset further includes at least one of metadata of the media content and a trust record of the media content; and determining one or more trust indicators of the media asset, where the one or more trust indicators are used to evaluate a trustworthiness level of the media asset. This method enables evaluation of the trustworthiness level of the media asset through extraction of the trust indicator, thereby eliminating the need to directly read the media asset during subsequent evaluation of the trustworthiness level, instead, relying only on information read from the trust indicator to evaluate the trustworthiness level of the media asset.

Inventors

• KANG, Xin
• HU, Ziyuan
• ZHOU, HAIBO
• LI, TIEYAN

Assignees

• Huawei Technologies Co., Ltd.

Dates

Publication Date

20260513

Application Date

20240418

Claims (17)

1. A data processing method, wherein the method comprises: obtaining a media asset, wherein the media asset comprises media content, and the media asset further comprises at least one of metadata of the media content and a trust record of the media content; and determining one or more trust indicators of the media asset, wherein the one or more trust indicators are used to evaluate a trustworthiness level of the media asset.
2. The method according to claim 1, further comprising: obtaining a trust credential based on the one or more trust indicators of the media asset, wherein the one or more trust indicators are encapsulated in the trust credential.
3. The method according to claim 1 or 2, wherein the one or more trust indicators are determined based on at least one of the media content, the metadata of the media content, and the trust record of the media content.
4. The method according to any one of claims 1 to 3, wherein the one or more trust indicators are used to determine trustworthiness information of the media asset, and the trustworthiness information indicates whether the one or more trust indicators satisfy a metric.
5. The method according to any one of claims 1 to 4, wherein the metric comprises data indicating a trust indicator that the media asset needs to satisfy.
6. The method according to any one of claims 1 to 5, wherein the trust indicator comprises a parameter indicating the trustworthiness level of the media asset.
7. The method according to any one of claims 1 to 6, wherein the media content is at least one of an image, a video, or an audio.
8. The method according to any one of claims 1 to 7, wherein when the media content is first media content, the trust record of the media content comprises initial information of the first media content, a hard binding of the first media content, and a first digital signature; the first digital signature is a digital signature of first data; and the first data is data determined based on at least the initial information and the hard binding of the first media content.
9. The method according to any one of claims 1 to 8, wherein the initial information comprises at least one of the following: generation time of the first media content, an author name of the first media content, a digital content identifier of the first media content, a generation location of the first media content, information about a generation device of the first media content, a resolution of the first media content, a size of the first media content, a media type of the first media content, copyright information of the first media content, or a generation manner of the first media content.
10. A data processing system, comprising: a first device, configured to obtain a media asset; a second device, configured to determine one or more trust indicators of the media asset; and a third device, configured to: obtain trust configuration information, and determine whether the one or more trust indicators of the media asset satisfy a metric in the trust configuration information.
11. The data processing system according to claim 10, wherein the second device is further configured to obtain a trust credential based on the one or more trust indicators of the media asset.
12. The data processing system according to claim 10, wherein the third device is further configured to generate a trust report based on a result of whether the one or more trust indicators of the media asset satisfy the metric in the trust configuration information.
13. A data processing apparatus, wherein the apparatus comprises: an obtaining module, configured to obtain a media asset, wherein the media asset comprises media content, and the media asset further comprises at least one of metadata of the media content and a trust record of the media content; and a processing module, configured to determine one or more trust indicators of the media asset, wherein the one or more trust indicators are used to evaluate a trustworthiness level of the media asset.
14. A data processing apparatus, wherein the apparatus comprises a memory and a processor, the memory stores code, and the processor is configured to obtain the code and perform the method according to any one of claims 1 to 9.
15. A computer-readable storage medium, comprising computer-readable instructions, wherein when the computer-readable instructions are run on a computer device, the computer device is enabled to perform the method according to any one of claims 1 to 9.
16. A computer program product, comprising computer-readable instructions, wherein when the computer-readable instructions are run on a computer device, the computer device is enabled to perform the method according to any one of claims 1 to 9.
17. A chip, comprising a processor, wherein the processor is configured to support a data processing apparatus to implement the method according to any one of claims 1 to 9.

Description

TECHNICAL FIELD This application relates to the field of terminals and media applications, and in particular, to a data processing method and a related device. BACKGROUND The popularization of more convenient image shooting devices such as mobile phones, coupled with the development of various types of simple, efficient, and powerful content editing software (for example, AIGC software), has lowered barriers to media creation and modification for people, enabling publication across various social media platforms. However, modification of media content exacerbates the spread of some misinformation and disinformation, undermining the trustworthiness of media content as a carrier of information. Particularly in light of AI advancements, distinguishing between fabricated fake content and authentic content has become increasingly challenging to naked eyes, making "seeing" no longer necessarily "believing". Therefore, technologies that can enhance our ability to assess a trustworthiness level of content are crucial. For example, media content is an image. In existing implementations, to detect whether the media content includes fake content, an AI detection model may be trained on a large quantity of real image sets and fake image sets. The detection model detects whether an input image has a feature similar to that of a fake image, to determine whether the image is trustworthy. However, this type of AI detection model can verify trustworthiness levels of only some specific fake content. Therefore, there is an urgent need for a method that can verify a trustworthiness level of media content. SUMMARY According to a first aspect, this application provides a data processing method, where the method includes: determining whether one or more trust indicators of a media asset correspond to a metric requirement, to obtain trustworthiness information of the media asset. A user may determine a trustworthiness level of the media asset based on the trustworthiness information. The media asset includes media content. The media asset further includes at least one of metadata of the media content and a trust record of the media content. The trust indicator is a parameter indicating the trustworthiness level of the media asset. In a possible implementation, the method further includes: generating the trustworthiness information of the media asset. In a possible implementation, the trustworthiness information may be encapsulated into a trust report. In a possible implementation, the one or more trust indicators are determined based on at least one of the media content, the metadata corresponding to the media content, and the trust record corresponding to the media content. For example, the trust indicator may be a feature extracted from the media content, the metadata corresponding to the media content, and the trust record corresponding to the media content, or may be data obtained by performing specific processing on the media content, the metadata corresponding to the media content, and the trust record corresponding to the media content. In a possible implementation, the trustworthiness information indicates whether the one or more trust indicators satisfy a metric, and the trust indicator includes a parameter indicating the trustworthiness level of the media asset. For example, the media content is an image, and features such as shooting time, a shooting location, a photographer, a camera lens parameter, and a shooting parameter in the metadata may be selected as trust indicators of the metadata. For example, the media content is an image, and an image generation manner, an image editing manner, and the like in the trust record may be selected as trust indicators of the trust record. The image generation manner may include but is not limited to whether the media content is generated through AIGC, whether the media content is generated through a camera, whether the media content is generated with software assistance, whether the media content is generated through synthetic media, and whether the media content can be used to train a model. The image editing manner may include but is not limited to rotation, resizing, cropping, content editing, and the like. For example, the media content is an image, and features such as a person, a scene, an object type, a position relationship between objects, or an image style (for example, color, lighting, or brightness) in the media content may be selected as trust indicators of the media content. In a possible implementation, a metric corresponding to the trust indicator is specified in a profile, and first trust configuration information may be obtained, where the first trust configuration information includes a metric that the media asset needs to satisfy. In a possible implementation, the one or more trust indicators of the media asset may be determined based on at least one of the media content, the metadata corresponding to the media content, and the trust record corresponding to t