14 results about "Post-production" patented technology

The invention relates to the technical field of image processing and target tracking, in particular to a cross-view fusion multi-person detection and tracking method for outdoor view variety, which comprises the following steps of: reconstructing a multi-view picture into three-dimensional / BEV space priori under a unified world coordinate, and feeding back the priori to each camera position feature by using space enhancement attention to obtain a consistent and steady multi-person detection result; then, carrying out online iteration updating on the three-dimensional position and posture of the figure in a tracking mode, introducing OKS-3D gating to combine the 2D key point consistency with the BEV spatial distance, and keeping a uniform ID and a continuous track across cameras; the method solves the problem that the prior art cannot effectively meet the requirements of real-time, accurate and stable target detection, tracking and identity association of an outdoor variety in a complex shooting environment, realizes time-space structured output of accurate detection, stable tracking, unified ID and visual positioning, can directly serve for director scheduling and post-production, and is high in practicability. And the overall manufacturing level and quality of the exterior variety are improved.

This disclosure provides an AI filmmaking workflow including AI-assisted storyboarding, AI animation, and post-production processes for creating films. The workflow provides techniques for reconstructing 3D digital environments and characters, and for virtual camera control. The workflow also provides techniques for capturing 2D live-action performances and extracting visual cues. The AI animation process generates synthetic images and video using prompts that are based on virtual camera control in case of 3D digitization and / or visual cues in case of 2D camera capturing. Further, the workflow provides techniques for compositing with AI assistance, to generate a composited video based on the AI-animated video and inputs resulting from 3D digitization and / or 2D video processing. Advanced post-processing techniques are also provided for generating a complete film based on the composited video. This framework is designed to facilitate creative collaborative networks by using a hybrid digitization approach to enhance consistency, directability, and scalability in AI filmmaking.

The present invention relates to a system that automatically generates 2D animations based on text and embeddings, maintaining visual and semantic consistency by combining model IDs and embeddings of characters, backgrounds, and motions. Information regarding scenes, characters, backgrounds, actions, and dialogue is extracted from input text content through natural language processing (NLP) and semantic analysis. By combining character embeddings and motion embeddings with model IDs, background images are synthesized to automatically generate animation scenes while maintaining consistency in the appearance and movement of the characters. Adaptive learning based on user feedback is performed to continuously improve the generation performance of the system, and post-production work is automated to maximize production efficiency. By enabling the efficient and consistent production of 2D animations in large-scale user environments, this system reduces production costs and time and supports non-experts in easily creating animations.

According to an aspect, a method includes receiving an availability resource from a first computing device associated with a studio entity, where the availability resource includes information about a media content item to be available on a media platform. The method includes storing the information of the availability resource in a database and receiving a package submission from a second computing device associated with a post-production house (PPH) entity, where the package submission includes media manifest core (MMC) data and one or more media assets associated with the media content item. The method includes executing a plurality of processing operations, including an error operation, on the package submission, using the availability resource and / or the MMC data, and, in response to determining that the error operation has resulted in an error, transmitting an error notification to the first computing device and / or the second computing device.

The application relates to a multi-person detection and tracking method for cross-view fusion of outdoor variety shows, and relates to the technical fields of image processing and target tracking. Multi-view pictures are reconstructed into three-dimensional / BEV space prior under unified world coordinates, and the prior is fed back to features of each camera position by using spatial enhanced attention to obtain consistent and robust multi-person detection results. Subsequently, the three-dimensional position and posture of a person are updated online and iteratively by using tracking attention, and OKS-3D gating is introduced to combine 2D key point consistency and BEV space distance, so that unified ID and continuous trajectory are maintained across camera positions. The application solves the problem that the prior art cannot effectively meet the real-time, accurate and stable target detection, tracking and identity association requirements of outdoor variety shows in a complex shooting environment, realizes accurate detection, stable tracking, unified ID and spatiotemporal structured output of visual positioning, can directly serve director scheduling and post-production, and improves the overall production level and quality of outdoor variety shows.

The invention relates to the technical field of video post-production, in particular to a video post-production system and method.The video post-production system comprises an input module, a sorting and classifying module and a processing module, shot video materials are imported and stored through the input module, the sorting and classifying module sorts and classifies the imported video materials, and the processing module processes the sorted and classified video materials; the video materials are classified according to different modes of themes, scenes, time and the like so that subsequent editing and searching can be facilitated, the processing module carries out editing, stunt, subtitle, audio, transition, animation and the like on the classified video materials, the processed single videos are synthesized and then output, the whole video materials are classified and then subjected to single processing, and the processing efficiency is improved. The manufacturing efficiency and quality are improved, fine management is achieved, and efficient and rapid editing is achieved.

A includes receiving a digital data associated with the presentation and detecting a plurality of segments of the presentation. The segments include at least an audio portion, a textual portion, and a video portion. A plurality of transition elements is determined between the plurality of segments of the presentation. A transition element represents a period of time between two consecutive segments. At least one transition element is identified, using a machine learning model, to be modified. The one transition element is between two segments and is modified based on content of the plurality of segments of the presentation.

This application discloses a method, apparatus, device, and storage medium for processing shooting videos, relating to the field of audio and video processing technology. The method includes: acquiring target audio signals from the audio track of the video to be processed, the signals including a start signal emitted by a timer and / or a gunshot signal generated by a firearm firing; analyzing the target audio signals to determine a first target audio signal and a second target audio signal, and their corresponding time points; the first target audio signal is a timer audio signal, and the second target audio signal is a firing audio signal; generating a target timeline for the video to be processed based on the time points of the target audio signals, and performing corresponding processing procedures on the video to be processed based on the target timeline to obtain the target video. By automatically extracting the timer signal and firing signal from the audio track of the video, determining the time points of each signal, and automatically generating a standard timeline, the method achieves automated processing of shooting videos, improves video processing efficiency, and reduces the technical threshold and time cost of post-production of shooting videos.

The invention relates to the technical field of post-production optimization, and discloses an intelligent resource scheduling method for optimizing the post-production efficiency of a television. Comprising the following modules and components: an early-stage deployment and benchmark construction module, a multi-source data real-time acquisition module, a task and resource intelligent matching module, an execution monitoring and intelligent adjustment module and a data archiving and algorithm iteration module. The early-stage deployment and benchmark construction module comprises a resource information acquisition terminal, a same-type project benchmark database and a personalized scheduling threshold generation unit; the invention aims to solve the problems that high-quality resources such as core hardware and key software authorization are often occupied by low-priority tasks, high-value and emergency tasks fall into waiting congestion due to resource insufficiency, project propulsion efficiency is seriously influenced, and meanwhile, the project propulsion efficiency is influenced. The potential problems of plug-in calling conflicts, rendering node load exceeding, material storage path occupation and the like are difficult to recognize in advance in a traditional scheduling mode.

Methods and apparatus for post-processing in-camera stabilized video. Embodiments of the present disclosure reconstruct and re-stabilize an in-camera stabilized video to provide for improved stabilization (e.g., a wider crop, etc.). In-camera sensor data may be stored and used to re-calculate orientation metadata in post-production. In-camera stabilization provides several benefits (e.g., the ability to share stabilized videos from the camera without additional post-processing as well as reduced file sizes of the shared videos). Camera-aware post-processing can reuse portions of the in-camera stabilized videos while providing additional benefits (e.g., the ability to regenerate the original captured videos in post-production and re-stabilize the videos). Camera-aware post-processing can also improve orientation metadata and remove sensor error. The disclosed techniques also enable assisted optical flow-based stabilization using the refined metadata.

The present invention relates to the field of video-making and video-editing, and specifically concerns apparatus and a process for creating videos with graphic postproduction effects without the use of software technology. A key feature of the invention is the creation of physical sets, which are essential for contextualizing narratives that require settings not physically present on location. This approach enables video-making and editing to more fully embrace the language and visual perspectives of cinema, contributing significantly to digital design through an innovative technique referred to as "manual rendering." At the same time, the invention remains versatile for applications that do not rely on software-based editing. In addition to videos, other digital graphic products, such as photographs and photographic series, can be created using the same technique and apparatus.

The invention provides an AI-based movie production workflow. The AI-based movie production workflow comprises an AI auxiliary story board, an AI animation and a post-production process. The workflow provides techniques to reconstruct 3D digital environments and roles as well as virtual camera control. The process also includes techniques of capturing 2D live performance and extracting visual cues. The AI animation process uses virtual camera control-based cues to generate composite images and videos (for 3D digitization) and / or visual cues-based generation (for 2D photography). Furthermore, the workflow provides AI-assisted synthesis techniques that generate a synthesized video based on the AI animation video and input from 3D digitization and / or 2D video processing. The process also provides advanced post-processing techniques to generate a complete movie based on the composite video. The framework aims to promote a creative collaborative network and improve consistency, controllability and expandability in AI movie production by using a hybrid digitization method.

An AI-powered system automating video content creation from script generation to market distribution is disclosed. The system integrates natural language processing, storyboarding, virtual production, post-production, and distribution optimization into a unified workflow, eliminating manual intervention. This invention improves on existing systems by offering an integrated, fully automated AI solution that handles every phase of content creation, eliminating the need for manual intervention. It significantly reduces production time and costs by streamlining scriptwriting, storyboarding, virtual production, and post-production into one cohesive process, providing scalability and efficiency that current fragmented tools cannot match.