7results about How to "Improve video quality" patented technology

The invention discloses a video editing method, electronic equipment and a storage medium. The method comprises the following steps: acquiring video material data to be edited; story orchestration logic is determined; and editing the video material data based on the story orchestration logic to obtain an edited video. Therefore, the video material data can be edited based on the determined story arrangement logic, so that the logic of the video clips of the edited video can be continuous and naturally linked, and the video quality of the edited video can be effectively improved.

The invention relates to a video generation method and device, electronic equipment, a medium and a program product, and the method comprises the steps: displaying a preset creation page which comprises video generation reference information, and the video generation reference information comprises a target reference video; in response to the video generation instruction, a generated target video is displayed, the target video is generated based on at least two video reference materials carrying timestamps, and the at least two video reference materials and the timestamp corresponding to any video reference material are separated based on the target reference video by the multi-modal separation model; the timestamps corresponding to the at least two video reference materials are used for aligning the at least two video reference materials. By using the technical scheme provided by the embodiment of the invention, the video generation efficiency can be improved while the diversity of the generated video content and the video quality are improved.

The embodiment of the present application relates to the technical field of computer data processing, and discloses a video identification method, which comprises the following steps: determining voice text information and picture information of a to-be-identified video; performing feature fusion on the voice text information and the picture information to obtain fusion video features of the to-be-identified video; and determining an originality determination result of the to-be-identified video according to the fusion video features and a preset video database. In the above manner, the accuracy of original video determination is improved.

The invention relates to a video compression model processing method, computer equipment, a computer readable storage medium and a computer program product. The method comprises the steps that a to-be-trained student model and a trained teacher model are acquired, the teacher model and the student model are video compression models based on a neural network, the teacher model is configured to realize video compression of a first code rate, the student model is configured to realize video compression of a second code rate, and the first code rate is greater than the second code rate; video compression is carried out on the sample video through the student model and the trained teacher model, training losses are constructed based on compression results obtained in respective compression processes, and the training losses comprise distillation losses between the student model and the trained teacher model and reconstruction losses of the student model; and performing parameter adjustment on the student model according to the training loss until the model converges to obtain a trained student model. By adopting the method, it can be ensured that the compressed video has low code rate and high video quality at the same time.

Methods for deriving an intra prediction mode based on an inter prediction signal are disclosed. In the present embodiments, an image decoding device determines a motion vector for a current block from a motion vector candidate list for the current block and generates an inter prediction signal for the current block based on a reference block indicated by the motion vector for the current block. The image decoding device derives an intra prediction mode for the current block based on the reference block and a template for the reference block and generates an intra prediction signal for the current block based on the intra prediction mode. The image decoding device generates a final prediction signal for the current block based on the inter prediction signal and the intra prediction signal.

The present disclosure relates to a video processing method, device and equipment and storage medium, and belongs to the technical field of computers, which is used for deinterlacing processing of interlaced videos to improve video quality and increase video definition. The video processing method comprises the following steps: obtaining a video to be processed; determining a video type of the video to be processed based on a pre-trained target type detection model; the video type is a non-interlaced type or a target interlaced type in multiple interlaced types; when the video type is the target interlaced type in the multiple interlaced types, inputting multiple image frames to be processed into a target deinterlacing model corresponding to the target interlaced type for deinterlacing processing to obtain a non-interlaced video corresponding to the video to be processed.

The invention discloses a model training method, a video processing method, electronic equipment and a storage medium, and relates to the technical field of video processing and large models. The method comprises the following steps: acquiring training video data; performing video reconstruction processing on the training video data by using an initial video variational self-encoding model to obtain a reconstruction result, the initial video variational self-encoding model being used for performing key frame space compression and overall time sequence compression on a plurality of video frame groups in the training video data to complete video reconstruction; and training the initial video variational self-encoding model based on the training video data and the reconstruction result to generate a target video variational self-encoding model, the target video variational self-encoding model being used for providing reconstructed video data for the initial video generation model to train and generate the target video generation model. According to the method and the device, the technical problems of low reconstruction result quality and slow optimization of the video variational auto-encoder model in the related technology are solved.