572 results about "Transcoding" patented technology

The invention discloses a cultural heritage file multi-dimensional storage system, which relates to the field of cultural heritage digital protection and intelligent storage and comprises a data acquisition and processing module, a double-library management module, a multi-dimensional index retrieval engine, a security and convergence module and a backup and disaster recovery module. According to the method, structured texts and unstructured files are uniformly accessed through various interfaces, a special tool chain is adopted for format standardization, audios and videos are transcoded into an H.264 / AAC format through FFmpeg, images are subjected to resolution adjustment and compression through ImageMagick, plain texts are extracted from texts through ApacheTika and are converted into UTF-8 codes, standardized data are uniformly converted into an intermediate format, and the format of the intermediate format is converted into the intermediate format. According to the technical scheme, the method comprises the following steps of: standardizing input data by adopting a three-layer duplicate removal strategy, facilitating other modules to receive data, performing refined redundancy processing on the standardized input data by adopting a three-layer duplicate removal strategy, remarkably reducing storage redundancy, partitioning a cultural heritage data main library according to three layers of ''project type-medium type-age'', and partitioning an inheritor information library according to two levels of ''province-inheritor number prefix''.

The invention relates to the technical field of data processing, and discloses a film and television supervision analysis method and system based on data mining and a storage medium. The method comprises the following steps: collecting film and television data in a panoramic manner, and carrying out cross-media transcoding processing to obtain a multi-dimensional data set; performing video semantic extraction, audio emotion recognition and text tendency analysis on the data set to generate a time sequence mark list; scoring the key elements according to social influence, propagation depth and audience acceptability to form a dynamic score table; analyzing the propagation path based on the score table, and constructing an influence map; sorting supervision points according to the atlas, and making an intelligent supervision scheme; the execution deviation is analyzed through effect feedback, and the supervision parameters are optimized. According to the method, multi-dimensional content feature extraction, social influence evaluation and propagation path analysis of the film and television works are realized in a mass multimedia content environment, a precise and differentiated intelligent supervision scheme is formed, and the method has self-optimization and adjustment capabilities at the same time.

An AI-based audio compression method for use with audio formats, alone or in combination with other audio compression and enhancement approaches. A combination of audio pre-processing, sound to visual transcoding of audio, and a sequence of AI-enabled methods enabling maximal entropy order extraction applied within the sound and dimensionally extended visual domain projection of the audio significantly increases the degree of compression of audio files, thereby reducing storage, transmission and processing overhead associated with audio. A unique AI-driven domain conversion is leveraged together with domain-specific AI processing stages to reduce file size, while supporting optional use of standard and proprietary audio encoding, decoding, compression, and other methods. Support for native mode photonic computer processing of the higher-dimensional order representation of media enables further optimization via photonic computing methods that would not be possible if the audio was not extended into higher order visual domain space.

The invention relates to the technical field of computer network data acquisition and processing, in particular to an intelligent news crawling system and method based on SpiderFlow, and the system comprises a dynamic time control module, an intelligent duplicate removal module, a paging processing module, a fault-tolerant data extraction module and a dynamic parameter configuration module. The dynamic time control module generates a time variable through a date calculation engine to realize accurate limitation of a crawling time range; the intelligent deduplication module adopts a three-level deduplication mechanism to ensure data uniqueness; the paging processing module supports static parameter and dynamic AJAX loading dual-mode paging, and realizes full-amount acquisition in combination with a self-increasing page number iterator and an intelligent termination strategy; the fault-tolerant data extraction module is integrated with CSS / XPath double parsers, and data integrity is guaranteed through field missing detection and messy code transcoding. Through multi-module cooperation and an intelligent algorithm, crawling efficiency, data quality and system stability are remarkably improved, and challenges such as webpage structure change and anti-crawling limitation are effectively handled.

The invention relates to a dynamic double-layer hidden watermark and encryption binding file protection method and system based on deep learning, and belongs to the technical field of digital content security. The problems of attack resistance, traceability obstruction and key-watermark unhooking in document cross-platform circulation are solved. According to the scheme, the method comprises the following steps of: extracting semantic fingerprints by using a sentence vector model Sentence-BERT; the fuzzy extractor generates a master key and derives a time key chain; the authentication encryption algorithm AEAD encrypts and binds the source and the timestamp load; container layer structure rearrangement and document layer zero-width character double embedding are carried out; the generative adversarial network or diffusion model adversarial training improves the optical character recognition and transcoding resistance; version binding and tracing are achieved through the watermark hash chain. The technical effects cover anti-counterfeiting migration, cross-layer fault-tolerant guarantee recoverability, rearrangement attack resistance, full-period accurate traceability and post-quantum security enhancement.

The invention discloses a lightweight three-dimensional data format generation method suitable for ship model labeling, which comprises the following steps of: exporting a three-dimensional model file from ship design software, extracting a model attribute information file of the three-dimensional model file, analyzing the three-dimensional model file and the model attribute information file, and calculating to obtain attribute value information of a geometric body model in a model; the attribute value information of the geometry model is integrated and then converted into a lightweight data exchange format, a lightweight data exchange format file is converted into a binary format, and a lightweight three-dimensional data format file is obtained through transcoding and compression; and the lightweight three-dimensional data format file is stored in a database after being subjected to name matching based on the model attribute information. The volume of the lightweight three-dimensional data format file is small, only key data of the reduced model are reserved according to the characteristics of the ship model, and binary coding conversion and compression are performed on the file, so that the volume of the lightweight three-dimensional data format file is much smaller than that of a model file in a general format, and storage and network transmission are greatly facilitated.

The invention discloses a cross-platform file transfer method in the mine field, which comprises the following steps: S1, mine file source identification and fluidization: docking an industrial internet platform, reading an original file generated by a specific business scene, and converting the original file into a file stream; s2, intelligent unified transcoding for the mining terminal: performing unified transcoding on the file stream through an intelligent transcoding engine; s3, encryption based on the mine data security level: carrying out encryption processing on the transcoded file; and S4, safe unloading driven by the mine service: receiving the encrypted transcoding file, and decrypting and decoding the encrypted transcoding file at a target mine terminal or a mine appointed storage node. According to the method, safe and efficient cross-platform transmission among mine multi-service systems is realized, the problem of mine terminal file compatibility is thoroughly solved, the file transmission and access efficiency in a mine weak network environment is remarkably improved, and a mine-level data security protection system is constructed.

The invention provides a multi-agent-based code conversion system and method. The method comprises the following steps: preprocessing an input source code; performing block processing on the source code to obtain source code blocks, obtaining variable information and array size information of the blocks corresponding to the source code, and integrating the variable information and the array size information into complete variable information; fusing the code description file, the code blocks of the source codes and the variable information of the blocks corresponding to the source codes to generate target code blocks; debugging and checking the target code blocks in combination with the source code blocks; the code description file is used for guiding the intelligent agent to establish a jumping type relation in the code conversion process, and it is ensured that the generated target code better meets the actual function requirement of hardware; a block identifier is inserted into a long code to divide the long code into a plurality of blocks, so that the limitation on long code conversion is relieved; codes of different styles can be output by simply adjusting the cue word of the intelligent agent; through multiple times of debugging verification, the conversion quality of the target code is ensured.

Methods, device and data stream are provided to encode unaligned multi-view plus depth images associated with assistance metadata for generating depth maps aligned with the unaligned color views. At the encoding stage, for an unaligned color view, the contribution of each depth map is evaluated. A subset of the most contributing depth maps is selected and metadata representative of this subset is encoded in the data stream of the unaligned multi-view plus depth images in association with the unaligned color view. At the decoding stage, to generate a depth map unaligned with the unaligned color view, only the depth maps referenced in the assistance metadata are warped.

In various examples, systems and methods are disclosed relating to accurately extracting requested portions of video data by concatenating video data with selective transcoding. The systems can receive a request indicating a start position and an end position and select a video data element including the start position. The systems can decode a portion of the video data element including the start position and encode a subset of a plurality of first frames of the video data element to provide a first video output. The systems can combine the first video output with a second video output that includes one or more second frames of the video data up until the end position.

The invention discloses an Android video self-adaptive secondary transcoding method and system and a medium, mainly relates to the technical field of secondary transcoding, and is used for solving the problem that part of videos cannot be played on some Android devices due to a transcoding mode in an existing scheme. Or the video playing experience is difficult to comprehensively optimize due to the fact that the video playing experience cannot be comprehensively optimized due to the fact that the video playing experience is not combined with the real-time feedback in the playing process. Comprising the steps that when it is determined that a playing report error occurs and the error indicates that the coding format is incompatible, the format with the highest priority in the coding formats supported by equipment is selected from a coding list contained in software parameters to serve as the final coding format, and secondary transcoding is conducted according to the final coding format; triggering a screen resolution and code rate down-regulation program when lagging occurs, a playing error occurs, the error is not incompatible in coding format or playing stagnation occurs, and the CPU load in the hardware parameters is greater than a preset value; and carrying out secondary transcoding based on the down-regulated screen resolution and code rate.

The invention discloses a code conversion method and device, a page display method and device, a medium and equipment. The method comprises the steps that code conversion demand information is acquired, and cue words are constructed based on the code conversion demand information; inputting the cue word into a code generation model to enable the code generation model to generate a source code file of the initial conversion tool; performing transcoding processing on the test case through the initial conversion tool, and deploying a converted code to the environment of the target platform to run to obtain a code running result; constructing a repair prompt word based on the code operation result, and inputting the repair prompt word into a code generation model, so that the code generation model corrects a source code file of the initial conversion tool; a code conversion tool is obtained through testing and correction of multiple iterations; and transcoding the project source code file of the source code platform through the code conversion tool to obtain a code file of the target platform. According to the method, the cross-platform code conversion efficiency can be improved.

The invention discloses an RTSP protocol video stream conversion playing method and system based on a Web end, and relates to the technical field of video stream transmission, and the method comprises the steps: receiving and decapsulating an RTSP protocol video stream, and generating an original video data frame; performing coding conversion processing on the original video data frame based on a preset optimization parameter set to generate streaming media format data; the method comprises the following steps: performing transmission channel distribution on streaming media format data, establishing a multi-channel video stream transmission channel, and pushing the streaming media format data to a Web front end for video rendering, thereby realizing real-time low-delay playing of multi-channel RTSP protocol video streams at a browser end. According to the method and the device, the technical problems that an existing browser cannot directly play the RTSP protocol video stream and relatively high delay exists in the transcoding process are solved, and the technical effects that the browser can directly play the RTSP protocol video stream without a plug-in through the protocol conversion middleware and optimized transmission channel distribution, and the transcoding delay is remarkably reduced are achieved.

Information security systems and methods are presented including synchronized state machines operating with private data and tamper-evident identifiers that expand the problem space of attacks by unauthorized consumers of data in flight or rest to near infinity. A quantum cryptography-resistant distribution network for identity, trust relationship, encryption, and transcoding of valuable information is described where a priori knowledge of the hardware or software is irrelevant to the safe time for the data protected and modified as needed within a multikey encryption and data control and availability assurance domains. Due to its low compute design, the methods described within are well suited for a variety of tasks including real-time data streams such as video and audio distribution.

A method includes: receiving a video file from a first publisher; partially decoding the video file based on visual characteristics in the video file to generate a proxy video representation of the video file. The method further includes, for a first resolution: accessing a first model associated with the first resolution, the first model configured to derive target bitrates based on resolutions and target viewing qualities; passing the proxy video representation and the source resolution to the first model; and receiving a first target bitrate for the first resolution returned by the first model. The method further includes: defining a first rendition, for the video file, characterized by the first resolution and the first target bitrate; generating an encoding ladder identifying the first rendition; and publishing the encoding ladder for access by a video player for streaming playback segments of the video file.

The invention discloses a multi-mode AI-driven short video automatic translation and speech synthesis system, which relates to the technical field of audio and video and comprises video acquisition, processing, translation and synthesis modules and the like. The video acquisition end receives various audio and video data submitted by a user and detects violation content; the primary processing end identifies formats of compliance data, transcodes the compliance data, separates audio and video streams, and further separates human voices and background voices; the video translation end extracts a human voice signal to generate a target language text, generates an audio stream in combination with rhythm features and a human voice module, and fits the audio stream with background sound; a video synthesis end extracts a lip image frame sequence from a video frame, generates a matched lip vertex displacement coordinate according to an audio frame sequence and renders the matched lip vertex displacement coordinate, and finally compresses, packages and outputs an audio and video synchronization sequence; various AI technologies are applied to the modules, automatic translation and speech synthesis of short videos are achieved, and the generation efficiency and quality of cross-language video content are improved.

The invention provides a video transcoding method and device, electronic equipment, a storage medium, a program product and a method for generating a bit stream. The video transcoding method comprises the following steps: extracting video features of currently received video clip data; processing the video features by using a pre-trained prediction model to obtain image quality frame rate mapping information of the video clip data, the image quality frame rate mapping information being used for representing a mapping relationship between a subjective image quality index and a frame rate; determining an optimal frame rate of the video clip data according to the image quality frame rate mapping information and the target subjective image quality index; and transcoding the video clip data according to the preferred frame rate to obtain video stream data corresponding to the video clip data. According to the method, the image quality and the frame rate can be dynamically optimized, and the watching experience of a user is improved.

The invention discloses a customer service method and device based on screen sharing, a storage medium and a program product, and relates to the technical field of communication. A user side responds to a customer service request and establishes connection with a customer service side; and the user side responds to the enabled screen sharing function, records the screen of the local equipment, and transcodes the recorded screen image to obtain a video stream. According to the technical scheme of the invention, when a user has problems such as operation questions, function use obstacles or interface abnormity about mobile applications, the user side can record the operation process of the user and transcode the operation process into the video stream, and the video stream is transmitted to the customer service side. A customer service can know the problems of operation questions, function use obstacles or interface abnormity and the like about the mobile application in real time through the video stream displayed at the customer service end, the problem positioning accuracy is improved, and the judgment error rate is reduced; therefore, the technical problems that a customer service support mechanism related to a mobile application is difficult to meet the requirement of a user for accurate guidance and the user experience is poor are solved.

An AI-based audio compression method for use with audio formats, alone or in combination with other audio compression and enhancement approaches. A combination of audio pre-processing, sound to visual transcoding of audio, and a sequence of AI-enabled methods enabling maximal entropy order extraction applied within the sound and dimensionally extended visual domain projection of the audio significantly increases the degree of compression of audio files, thereby reducing storage, transmission and processing overhead associated with audio. A unique AI-driven domain conversion is leveraged together with domain-specific AI processing stages to reduce file size, while supporting optional use of standard and proprietary audio encoding, decoding, compression, and other methods. Support for native mode photonic computer processing of the higher-dimensional order representation of media enables further optimization via photonic computing methods that would not be possible if the audio was not extended into higher order visual domain space.

An aspect of the disclosure related to methods and systems configured to detect that an item of streaming primary video content associated with a channel of scheduled streaming content is designated to be streamed to a device. Ancillary content is identified. Alternative versions of respective sections of the ancillary content are identified. Metadata corresponding to the alternative versions of ancillary content, metadata corresponding to the item of primary video content, and / or metadata corresponding to the channel are used in selecting a first section from among the alternative versions of a given section. The ancillary content, including the selected first section from among the alternative versions is streamed to the device immediately before, during, or immediately after the item of streaming video content. The alternative versions may be transcoded to generate multiple encoded iterations of respective alternative versions and the encoded versions are stored in a tree data structure.

The invention discloses a teaching live broadcast control method, a teaching live broadcast control system, a teaching live broadcast control medium and teaching live broadcast control equipment based on multi-protocol signal flow scheduling, a multi-protocol signal source is adaptively accessed, a protocol analysis plug-in is correspondingly loaded to analyze a protocol, and different types of heterogeneous flows are converted into standardized data flows. Extracting stream features, and performing scene recognition; and dynamically adjusting the bandwidth allocation strategy based on the network state and the terminal capability. And on the basis of the multi-target reinforcement learning model, generating an optimal strategy of bandwidth allocation for live broadcast stream pushing and local distribution requirements. Stream transcoding and format conversion are carried out, and multi-signal stream timestamps are dynamically calibrated and synchronized; based on a Transform model, multi-modal content matching is carried out, knowledge chain marks are generated, and finally terminal output is carried out. The method has the advantages of full-scene protocol compatibility, dynamic scene adaptive scheduling, intelligent resource dynamic allocation, high-precision time synchronization calibration and content intelligent association matching.

The invention provides an information processing method and system based on unmanned aerial vehicle video spatialization, and relates to the technical field of unmanned aerial vehicle video processing. Firstly, camera optical parameters, camera pose information and sensor type identification are collected and synchronously coded to a non-display data segment of an unmanned aerial vehicle video frame structure to form a coded video with multi-dimensional space information, and then a coded video stream is formed through streaming packaging. And performing scene-based transcoding adaptation on the coded video stream to obtain an adaptive video stream, performing hierarchical decoding and splitting, constructing a dynamic space mapping model in combination with an image correction model, and calculating the geographic range of a video frame to obtain a live video with a multi-reference geographic range identifier. Based on the live video, geographic data with ground feature attributes and recognition confidence are generated and transmitted in a multi-link mode, a feedback modification track is received and layered updating processing is executed, bidirectional dynamic synchronization and conflict resolution of the geographic data and the live video are achieved, and the quality and reliability of geographic information are improved.

The invention belongs to the field of information security, and relates to a robust video steganography method and system based on neighbor block difference cost, which can resist video transcoding of a social platform and is used for covert communication of a lossy channel. According to the method, a cost distribution method based on neighbor block difference is designed to evaluate the robustness of an embedded unit, a global robust modulation mode is selected by using a minimization distortion frame, and the embedded unit is modulated by adopting quantization index modulation according to the global robust modulation mode to embed secret information. The robust video steganography method and system provided by the invention integrate strategies such as adjacent block difference cost, an optimal robust modulation mode and a minimization distortion frame, and can effectively support robust video steganography communication under a social network lossy channel.

Systems and methods are disclosed for generating an adaptive bitrate ladder for a content item based on the actual quality of the content item. A broadcaster determines a quality score of a content item and multiplexes a message indicating the quality score with data packets of the content item to a headend. The headend uses the quality score to determine an ABR ladder with a set of bitrates for the content item. The headend then transcodes the content item into the set of bitrates. The headend then transmits a plurality of network addresses, each corresponding to a stream at a particular bitrate, to a user gateway to enable the user gateway to make the streams available.

Techniques for determining video transcoding setting(s) for a video content based on information associated with a video content request and encoding the video contents into one or more encoded video contents based on the video transcoding settings are discussed herein. For example, a communication platform may receive a request associated with a video content. The communication platform may determine, based at least in part on the request, device information associated with one or more receiver devices. The communication platform may determine, based at least in part on the device information associated with the receiver devices provided by the communication platform, one or more video transcoding settings associated with the video content. The communication platform may further send one or more encoded video contents encoded based on the one or more video transcoding settings to the receiver devices.

Systems and methods are described for transcoding at least a portion of a live media asset ingested from a media content source. The systems and methods may be configured to, in real time, after ingesting the at least a portion of the live media asset, determine parameters of the at least a portion of the live media asset. The systems and methods may be further configured to, in real time, after ingesting the at least a portion of the live media asset, determine, based on the parameters, a plurality of optimal bitrate-resolution pairs for the at least a portion of the live media asset. The systems and methods may be further configured to, in real time, after ingesting the at least a portion of the live media asset, cause the at least a portion of the live media asset to be transcoded based on the plurality of optimal bitrate-resolution pairs.

Methods, systems, and computer readable media for transcoding video data based on metadata are provided. In some embodiments, methods for transcoding video data using metadata are provided, the methods comprising: receiving a first plurality of encoded images from a storage device; decoding the first plurality of encoded images based on a first coding scheme to generate a plurality of decoded images; receiving a plurality of encoding parameters from the storage device; and encoding the plurality of decoded images into a second plurality of encoded images based on a second coding scheme and the plurality of encoding parameters.

The invention discloses a civil aviation logistics data exchange method, and relates to the technical field of data processing, and the method comprises the steps: receiving to-be-exchanged data, building an intelligent routing model, carrying out the complementation verification of incomplete to-be-exchanged data information through an automatic correction mechanism, and forming a preprocessing data set; establishing a data transcoding engine to receive the preprocessed data set, and converting the preprocessed data set into a target data set; receiving a target data set, and transmitting the target data set to a next transmission node according to a data exchange path; a common and efficient data exchange path is selected through the intelligent routing model, the delay and error rate of data transmission are reduced, and the effect of improving the overall data exchange efficiency is achieved; an automatic correction mechanism is established to realize address verification and completion, a data transcoding engine is established, and the aviation semantic web technology is used to carry out standardization processing on the data, so that the effects of rapidly solving the basic information problem and improving the data processing efficiency are realized.

The invention relates to the technical field of teaching platforms, in particular to a teaching platform video management method and system, and the method comprises the following steps: extracting a subtitle text or audio transcription in a video based on a video data index, carrying out the semantic content processing, evaluating the similarity with the existing teaching video content, and analyzing the timeliness of the teaching video; and obtaining a video demand index. According to the method, deep semantic analysis and real-time updating monitoring are carried out on the teaching video content, the timeliness and correlation of the education content are greatly improved, the similarity and timeliness of the teaching video and the existing content are accurately evaluated, it is ensured that video data closely correspond to education requirements, the latest dynamic state of the education field is reflected in time, and the education efficiency is improved. The function of monitoring the video uploading and transcoding progress in real time not only improves the management efficiency, but also enhances the transparency of the process, and the quality and adaptability of teaching materials are effectively ensured through automatic video quality detection and feedback-based content optimization.

Systems and methods are described for transcoding at least a portion of a live media asset ingested from a media content source. The systems and methods may be configured to, in real time, after ingesting the at least a portion of the live media asset, determine parameters of the at least a portion of the live media asset. The systems and methods may be further configured to, in real time, after ingesting the at least a portion of the live media asset, determine, based on the parameters, a plurality of optimal bitrate-resolution pairs for the at least a portion of the live media asset. The systems and methods may be further configured to, in real time, after ingesting the at least a portion of the live media asset, cause the at least a portion of the live media asset to be transcoded based on the plurality of optimal bitrate-resolution pairs.