A data processing method, device and computer-readable storage medium
A database and material technology, applied in the Internet field, can solve the problems of pushing inaccurate image materials and video materials, and difficult to accurately describe the purpose of retrieval, etc.
Active Publication Date: 2021-12-31
TENCENT TECH (SHENZHEN) CO LTD
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Problems solved by technology
Currently, material retrieval websites use text for material retrieval, that is, text for image and video material retrieval; for image material, it not only includes subject and scene information, but also complex subject attributes and relationships between multiple subjects. information; video content contains richer action information and interactive information, so it is difficult to accurately describe the retrieval purpose only by query text. material
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[0105] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.
[0106] For ease of understanding, some nouns are briefly explained as follows:
[0107] Artificial Intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. In other words, artificial intelligence is a comprehensive technique of computer science that attempts to unde...
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The embodiment of the present application discloses a data processing method, device, and computer-readable storage medium based on artificial intelligence, wherein the method includes: acquiring the first material associated with the query text; acquiring the style vector of the query image, and acquiring the semantics of the query image The second material associated with the vector; determine the first material and the second material as candidate materials, and obtain the target material image style vector, target material image semantic vector and target material text; based on query text, query image semantic vector, query image style Vector, target material text, target material image semantic vector, and target material image style vector, the candidate materials are sorted, and the recommended material is determined from the sorted candidate materials. By adopting the present application, the description accuracy of the retrieval purpose can be improved, and further, the accuracy of recommended materials can be improved. The embodiments of the present application can be applied to various scenarios such as cloud technology, artificial intelligence, intelligent transportation, and blockchain.
Description
technical field [0001] The present application relates to the technical field of the Internet, and in particular to a data processing method, device, and computer-readable storage medium. Background technique [0002] With the popularization of multimedia technology and the development of computer Internet, image data has grown rapidly on an astonishing scale. The user submits the retrieval request, and the material database returns the image material or video material that meets the requirements. This process can be called material retrieval. [0003] How to find the desired material in the massive material database has become a major research hotspot in the field of computer vision. Currently, material retrieval websites use text for material retrieval, that is, text for image and video material retrieval; for image material, it not only includes subject and scene information, but also complex subject attributes and relationships between multiple subjects. information; v...
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IPC IPC(8): G06F16/53G06F16/583
CPCG06F16/5846G06F16/53
Inventor 胡风康秋生罗雨唐振江马晋
Owner TENCENT TECH (SHENZHEN) CO LTD