Abstract: A method includes obtaining raw image data, where the raw image data includes data values each having most significant bits and least significant bits. The method also includes providing the raw image data to a trained machine learning model and generating processed image data using the trained machine learning model. The method further includes presenting an image based on the processed image data. The trained machine learning model is trained to modulate a feature map associated with the most significant bits of the data values of the raw image data based on the least significant bits of the data values of the raw image data in order to generate a fusion of the most significant bits and the least significant bits of the data values of the raw image data.

Abstract: The present application relates to a field of smart searching technology, and provides a method and an apparatus for searching a multimedia content, a device, and a storage medium. The method includes: acquiring a query vector of query information; determining, from a search library, a first category matching the query vector, wherein the search library comprises a plurality of categories, each of the categories comprises a plurality of vectors, and each of the vectors is associated with a corresponding multimedia content; and inquiring, in the first category, a target vector matching the query vector, and acquiring the multimedia content corresponding to the target vector.

Abstract: The present application relates to a field of smart searching technology, and provides a method and an apparatus for searching a multimedia content, a device, and a storage medium. The method includes: acquiring a query vector of query information; determining, from a search library, a first category matching the query vector, wherein the search library comprises a plurality of categories, each of the categories comprises a plurality of vectors, and each of the vectors is associated with a corresponding multimedia content; and inquiring, in the first category, a target vector matching the query vector, and acquiring the multimedia content corresponding to the target vector.