8 results about "WebP" patented technology

The invention discloses a web end picture compression processing and uploading method based on multi-dimensional image features, and the method comprises the steps: recognizing a real format through file header verification, and carrying out the precise preprocessing; extracting multi-dimensional image features including size information, content complexity, brightness distribution and metadata; a lightweight CNN model is integrated for semantic recognition, and images are divided into portraits, documents, sceneries and the like; a regional compression mechanism is activated based on semantic types, and higher weights are distributed to key regions such as human faces and characters; the multi-dimensional features and a user set target are integrated through a weighted regression model, an optimal compression parameter is calculated, and the precision is ensured by adopting two-stage iterative optimization; selecting optimal output formats such as WebP, AVIF and the like according to the equipment capability, the network state and the content characteristics; hash verification is implemented to ensure transmission integrity; and finally, continuously optimizing the compression strategy through front-end incremental learning.

The invention provides an animation extension method and device, an extended animation playing method and device, equipment and a medium, and relates to the technical field of animation processing. The animation extension method comprises the steps that an original animation file is analyzed, an original animation sequence frame and animation configuration in a protobuf format are obtained, the format of the original animation file is any one of APNG, WebP and GIF, and the animation configuration comprises the size and frame rate information of the original animation; a target mask sequence frame of the target mask resource is imported, effective information of the mask sequence frame is extracted, mask configuration in the protobuf format is generated, and the effective information comprises the position, the size and the scaling rate of a non-transparent area in the mask sequence frame; the animation configuration and the mask configuration are combined into the unified protobuf configuration file, the resource header of the original animation file is written, the extended animation file is exported, lightweight extension of the original animation format is achieved, mask resources can be mounted, the animation resource reuse rate is increased, and the development and management cost is reduced.

The application discloses a lossy compression detection method and terminal fusing high-frequency space domain and DCT domain, and the method comprises the steps of obtaining a first JPEG compressed image data set, training a WebP lossy compression detection network according to the first JPEG compressed image data set to obtain a trained WebP lossy compression detection network, obtaining a second JPEG compressed image data set, performing WebP lossy compression trace detection on the second JPEG compressed image data set according to the trained WebP lossy compression detection network, and outputting a detection result; the method for extracting features of a JPEG image by fusing high-frequency space domain and DCT domain provided by the application solves the problem that the effect of the lossy compression detection method for JPEG double compression in the prior art is poor and even fails in some cases.

The invention discloses a method and a device for optimizing the picture resource volume of a browser, a storage medium and an electronic device. The method comprises the following steps: acquiring a plurality of initial picture resources in a local front-end project; format conversion is carried out on the plurality of initial picture resources to obtain a plurality of first picture resources and a plurality of second picture resources, the picture format of the plurality of first picture resources is an avif format, and the picture format of the plurality of second picture resources is a webp format; a target picture format supported by a browser corresponding to the local front-end project is determined, the volume of picture resources rendered to the browser is optimized according to the target picture format, and the target picture format comprises at least one of an original picture format of the multiple initial picture resources, an avif format and an original picture format of the multiple initial picture resources. The Webp format is adopted.

The invention discloses a self-adaptive steganography method and system for a WebP lossy compressed image, and the method comprises the steps: carrying out the decoding and pixel-by-pixel complexity scoring of a target to-be-embedded WebP lossy compressed image, obtaining a steganography cost graph, and calculating the basic cost of each transformation block; a frequency response weight matrix calculation algorithm is adopted to obtain a frequency sensitivity weight map, element-by-element fusion is carried out according to the basic cost of each transformation block, and an embedded cost map based on texture and frequency sensitivity is obtained; generating a penalty cost of each transform block, and constructing a prediction sequence perception embedding cost according to the frequency sensitivity weight map; and based on a weighted fusion mechanism, performing weighted summation on the embedding cost graph based on the texture and frequency sensitivity and the prediction sequence perception embedding cost to obtain a final embedding cost graph, and cutting the target information into the final embedding cost graph to obtain a target image. Through the adaptive steganography method, the WebP image can be steganography.

The application discloses a kind of three-dimensional model adaptive lightweight processing method and system, the three-dimensional model adaptive lightweight processing method uses C++ and C# mixed development mode, combined with.NET Core cross-platform framework, is divided into business layer and data processing layer: business layer is developed using C#, responsible for service management, MQTT communication and three-party system docking;Data processing layer is developed using C++, focuses on file analysis, mesh partitioning and face reduction optimization.System supports NWD, FBX, IFC, RVM, VUE and the analysis and conversion of multiple industrial three-dimensional model formats, reduce vertex redundancy through triangular mesh index technology, combined with WebP lossless compression material map, realize model volume compression rate is more than 50%.Asynchronous message communication is realized using MQTT protocol, supports JSON instruction control conversion process, can receive conversion request including model UUID, file type, scaling ratio and LOD level and other parameters, while guaranteeing the integrity of model engineering semantic information, significantly reduce model storage and transmission cost.

The invention discloses a decompressed WebP image quantization parameter estimation method and device and a terminal, and the method comprises the steps: obtaining a target image, classifying macro blocks of the target image, and obtaining a plurality of target macro block groups, the target image being a compressed and decompressed WebP image; performing frequency domain periodic feature driving on the multiple target macro block groups to obtain quantization step coarse estimation; and performing adaptive optimization and candidate quantization step size correction on the quantization step size coarse estimation to obtain a target optimal quantization step size. According to the method, the problems of mismatching of feature extraction dimensions and mismatching of coefficient distribution models when an existing quantitative estimation method for JPEG is directly applied to WebP images in the prior art are solved, and key technical support with high precision and high efficiency is provided for authenticity verification of digital images.

The invention provides a previewing method for grid layout video resources and related equipment, and the method comprises the steps: monitoring and determining partial or all visible video cells in an interface visible region in real time, and obtaining a visible cell set; screening out a target cell set of which the ratio of the visible area to the total area is greater than or equal to a preset threshold value from the visible cell set; starting a delay timer for the target cell set to confirm the interface residence time, and screening to obtain a to-be-previewed cell set; calculating the distance between each to-be-previewed cell in the to-be-previewed cell set and the center of the visible area of the interface, and dividing the to-be-previewed cell set into a static image group and a dynamic image group; and loading a first frame image of the video resource for each to-be-previewed cell of the static image group, and loading a WebP dynamic preview of the video resource for each to-be-previewed cell of the dynamic image group. According to the preview method, the dynamic image is loaded in the vision important area, the static image is loaded back to the non-important area, and the loading efficiency and the user experience are both considered.