133 results about "Multimedia signal processing" patented technology

Integrated processing of multimedia signals can eliminate unnecessary signal processors and converters without losing the functionality of typical home entertainment system components. The integrated multimedia system includes a main player that captures and processes signals digitally. The main player may adjust the audio signal to provide audio output of equal loudness across all frequencies by accounting for sensitivity of the human ear for sounds of varying frequencies. The main player can also account for perceived differences in loudness based on the angle of a listener to a speaker by detecting the position of a user and making an adjustment accordingly. The invention further provides a speaker that has embedded performance characteristics or an identifier that allows the system to provide an optimal speaker driving current for a particular system or determine how that speaker would be best implemented in the integrated system.

The present invention relates to a moving picture decoding processor for multimedia signal processing. In more detail, it relates to a moving picture decoding processor, based on RISC processor, having a separate bus structure for minimizing memory access. And thus, it can provide optimized systems for various application fields.

The invention discloses a sight-line interaction method suitable for touch controlling, and belongs to the technical field of video and multimedia signal processing. According to the sight-line interaction method, human-eye area images are input to a CNN, the images are subjected to characteristic extracting and dimension reduction through convolution and down-sampling operation, and the limitation of a traditional sight-line estimation method in which an eyeball model is established through a high-definition camera and an additive infrared device is improved. In an image collecting stage, a human-eye database has the diversity of illumination, skin colors and forms through image collection at different positions of different individuals in different time periods, and a system meets the requirements of different individuals under multiple conditions; the classification accuracy is greatly increased.

This invention discloses a hidden-writing method for JPEG lossless compressed images based on forecast coding, when inserting data in a JPFG lossless compressed image, it first of all carries Huffman decoding to get a forecast error, then inserts secret data in the forecast error and finally carries out Huffman coding to the modified forecast error to generate cryptograph image of the JPEG lossless coding, which utilizes modular arithmetic when inserting, which not only reduces alteration of data insertion to carrier images to keep a rather high image quality but also stores the inserted data either in the lossless compressed JPRG code streams or in the compressed cryptograph images.

The present invention discloses a code integrating system and method and a decode integrating system and method, which belongs to the multimedia signal processing and information source coding field. The code integrating system comprises a receiving module, an extracting module, a sort module, a sub-coder, a control module, a merge module and a packing and transmitting module; the decode integrating system comprises a receiving and unpacking module, an analyzing module, a sub-decoder, a control module and a buffer memory outputting module. The code integrating method comprises that relevant information is extracted from the multimedia signal and one route main signal; the main signal or the multimedia signal is classified; the main signal is coded by the sub-coder, and then merged with various parameters and outputted after packing. The decode integrating method comprises that code stream data is received, the main signal is gained by decoding after unpacking and analyzing, and the main signal or the processed main signal is outputted. The present invention can fully exert the ascendancy of various individualized multimedia coder, and meet the requirements of subjective feeling characteristics and different channels.

The invention discloses a digital watermarking method for generating a holographic image by applying a computer, which relates to a multimedia signal processing technology. The digital watermarking method for generating the holographic image by applying the computer has relatively good imperceptibility and strong anti-attack performance and is more flexible in calculating the holograph, low in cost and wide in application scope. The step for generating the holographic image by applying the computer serves as a watermark information sequence to be embedded into a carrier image. The steps for embedding the holographic image into the carrier image adopts a watermark embedding algorithm to embed the generated holographic image into the carrier image as the watermark information sequence of the carrier image, to ensure the robustness to various attacks and imperceptibility of a watermark. The step for a watermark detection algorithm is judging whether an image contains the watermark information; and the step for computer generation of the holographic image is generating the content of the watermark extracted on the computer clearly.

The invention discloses an audio coder switching method which belongs to the multimedia signal processing and source encoding field. The method comprises that: a plurality of audio sequences are selected as training data; according to a preset rule and the training data, a classifier is trained; the rule is achieved by adopting a subjective tone quality evaluating method after a plurality of audio sequences are tested; when an audio signal is input, according to the trained result, the audio signal is classified by the classifier and switched to a corresponding audio coder for coding. The invention uses a subjective tone quality test result to train the classifier in order that the classifier can approach to subjective hearing and select a proper coder for switching, thereby overcoming the disadvantages of large calculating amount of an AMR-WB+closed loop switching method; compared with an AMR-WB+open loop switching method, the invention greatly improves the switching accuracy and ensures the coding quality.

The invention provides a multimedia signal processing device and a multimedia video-audio system, wherein the multimedia signal processing device comprises a decoding chip, a wireless video signal sending unit, a control signal receiving unit, a code value converting and transmitting unit and a network unit, wherein the wireless video signal transmitting unit is used for coding a video flow decoded by the decoding chip and sending the coded video flow to a wireless signal receiving unit of a wireless television in the mode of wireless transmission; the control signal receiving unit is used for receiving control signals from a remote controller of external multimedia equipment; the code value converting and transmitting unit is used for converting control signals of the remote controller of the external multimedia equipment received by the control signal receiving unit into a code value corresponding to the external multimedia equipment so as to control the external multimedia equipment; and the network unit is used for communication between a video signal from a network and the wireless television through the wireless video signal transmitting unit. By the invention, connecting wires between the multimedia signal processing device or multimedia peripherals and the television can be reduced, and the sense of experience of users can be improved.

The electronic multimedia Chinese character red tracing notebook includes casing, multimedia signal processing circuit board, display screen and touch screen. The display screen and the touch screen on the casing are connected with the multimedia signal processing circuit board inside the casing. The electronic multimedia Chinese character red tracing notebook is used in Chinese character writing teaching, calligraphy exercise and Chinese character red tracing exercise, and can mark Chinese character writing and complete Chinese character dictation. The present invention is intelligent, interactive, interesting, small, low in power consumption, durable, reliable, upgradable and suitable for use in teaching children.

The invention discloses a semantic segmentation improved algorithm based on a point cloud local structure, which is used for assisting the dense mapping and belongs to the field of multimedia signal processing. The semantic segmentation improved algorithm comprises the following steps of 1, learning a local geometric structure; 2, learning a local feature structure; 3 fusing the ORB-SLAM2 systems.The present invention provides the algorithm for executing the semantic segmentation service based on a kernel association network for the first time, the algorithm enables the accuracy to be improved to 80.6% under an S3DIS data set and assists the ORB-SLAM2 with a dense point cloud mapping function, so that the SLAM system has the semantic mapping function.

A multimedia signal processing apparatus comprises communication service units having a plurality of types of signal processing modes corresponding to a plurality of types of communication service classifications, a communication service classification identifying unit for identifying, on the basis of signal processing request information on one call communicated from a higher-rank node, a communication service classification for that call, and a mode control unit for controlling a signal processing mode of the communication service unit to a mode suitable for the communication service classification identified in the communication service classification identifying unit. With this configuration, in the multimedia signal processing apparatus, the signal processing mode of the communication service unit is controlled to a mode suitable for the service classification for each call, which can considerably decrease the number of communication service units to be mounted and significantly reduce the probability of the rejection of newly arrived call.

The invention discloses a medical image robust watermarking method based on Arnold scrambling transformation and DCT (discrete cosine transformation), belonging to the field of multimedia signal processing. The method comprises the following steps: firstly embedding a watermark, specifically including (1) carrying out Arnold transformation on the watermark to be embedded to implement the pretreatment, (2) carrying out overall image DCT transformation on a medical image, and extracting a vector of a feature in a transformation domain, (3) obtaining a binary logic sequence through a Hash function by using the feature vector and the pre-treated watermark; and then carrying out watermark extraction, specifically including (4) carrying out overall image DCT transformation on a medical image to be tested, and extracting a feature vector; (5) extracting the watermark by using the property of the Hash function and a binary logic sequence of a third party; and (6) obtaining the original watermark through inverse transformation of the Arnold scrambling transformation. The experiment shows that the method has a very good information hiding capability and is of great significance in protecting the information of a patient in telemedicine.

This invention is a digital image attestation method based on half-perished water attestation. This invention puts the original image with half-perished water character as water mark, and embeds it into the image by structured method. When the image needs the attestation, picks up the water mark through judgment, that is, the error between of the character of the original image and the character of the attesting image is in the receivable range, in order to attest the image whether reliable. This invention can judge whether the process of the image is sophisticating or formally processing, and can precisely locate the position of the sophistication and belongs to the field of multi-media signal processing. This invention provides a new method to the digital image attestation.

A method for embedding watermark on robust digital image of airspace image includes using chose sequence generated by cipher key to select initial image pixel block, seeking optimum matched block with said pixel block in complete image, recombining them as per their generated order and making DWT conversion, dividing watermark information as per their importance, realizing unequal error protection by utilizing orthogonal variable length OVSF code spread spectrum treatment and embedding spread spectrum watermark into DWT wavelet coefficient. The method for picking up watermark is also disclosed.

The invention discloses a digital watermarking technique based on wavelet transformation, which comprises: taking wavelet transformation to original image to embed a watermark into the coefficient of an approximate subgraph for global DCT operation to find out an image feature vector robust to geometrical attack; taking wavelet transformation to the tested image and global DCT operation to the approximate subgraph to find out a feature vector of the tested image for its watermark extracting. This invention has well resistant performance to rotation, reduce and enlarge, and distortion.

The invention relates to an electric stamp checking method, based on image character, wherein said invention combines the image character of stamp and the semi-fragility watermark; the invention first pretreats the original stank image, then extracts the character of stamp as the watermark to be embedded into stamp image; when the stamp needs identification, extracting watermark, to judge if the error between the watermark and the character of checked stamp is in acceptable range, to confirm if the stamp is reliable; if it is not, confirming the position that changed maliciously. The invention can correctly judge the treatment on stamp is malicious or normal, and accurately position the changed position, belonging to the multimedia signal processing technique.

The present invention discloses a PSTN voice and IP video visible telephone device with built-in browser, whose audio and video are respectively transmitted by the PSTN network and IP network. The visible telephone device not only has all functions of the PSTN phone, but also has video communication, remote monitoring, multimedia messages, MMS transmitting and receiving, graphic/audio and video broadcast and Web browsing, and other functions. The visible telephone device has structural features that the device is composed of a PSTN audio processing part and an IP multimedia signal processing part, the voice is separately transmitted by PSTN, and a main control system is composed of a digital media processor DM642, a keyboard/telephone event single-chip EM78806 and an interface control single-chip MC9S12UF32. The single-chip MC9S12UF32 controls the keyboard/telephone event single-chip EM78806 through the serial port, and is connected to the DM642 the HPI interface of the DM642 for exchanging information, wherein, a complex programmable logic device XC9536 provides a time sequence. The operating system is a real-time operating system based on DSP BIOS, the built-in browser and other application programs are developed and operated on the real-time operating system.

The invention discloses a video abnormal behavior discrimination method based on non-local network deep learning, and belongs to the field of computer vision, intelligence and multimedia signal processing. A training set is constructed by using a multi-example learning idea, and positive and negative packages and examples of video data are defined and labeled. A non-local network is adopted for feature extraction of a video sample, an I3D network of a residual structure serves as a convolution filter for extracting space-time information, and a non-local network block fuses long-distance dependence information so as to meet the time sequence and space requirements of video feature extraction. After the features are obtained, a regression task is established through a weakly supervised learning method, and a model is trained. According to the method, unlabeled categories can be judged, and the method is suitable for the conditions that positive samples of abnormal detection tasks are rare and the diversity in the categories is high. The method meets the recall rate requirement of an abnormal scene and has engineering application value.