729 results about "Encoder decoder" patented technology

Techniques and tools for coding / decoding of video images, and in particular, B-frames, are described. In one aspect, a video encoder / decoder determines a fraction for a current image in a sequence. The fraction represents an estimated temporal distance position for the current image relative to an interval between a reference images for the current image. The video encoder / decoder processes the fraction along with a motion vector for a first reference image, resulting in a representation of motion (e.g., constant or variable velocity motion) in the current image. Other aspects are also described, including intra B-frames, forward and backward buffers for motion vector prediction, bitplane encoding of direct mode prediction information, multiple motion vector resolutions / interpolation filters for B-frames, proactive dropping of B-frames, and signaling of dropped predicted frames.

A deblocking filter used in a video encoder / decoder based on a multilayer is disclosed. The deblocking filtering method includes choosing a present block and its neighboring block on which a deblocking filtering will be performed, judging whether the present block and the neighboring block have been coded by the intra BL mode, choosing a deblocking filter strength according to the result of the judgment, and performing the deblocking filtering with respect to a boundary between the present block and the neighboring block and according to the deblocking filter strength.

A system on chip processor for a multimedia device includes: a pre-processing circuit to convert an external image signal into a compressed input signal for compressing; an encoder / decoder circuit to generate compressed data by compressing the compressed input signal and outputting a coded image signal by decompressing the compressed data; a post-processing circuit to convert the coded image signal into a signal that can be used by an image displaying device; a first system bus connected with pre-processing circuit and post-processing circuit; a second system bus connected with the encoder / decoder circuit; a first bridge DMA circuit to mutually transmit data between first system bus and second system bus; and a controller to control the operation of the circuits.

The invention provides a method and a system for deep nerve translation based on character encoding. A combined nerve network model is established by using an RNN to cover the whole translation process, and translation tasks are directly completed from the perspective of an encoder-decoder framework. The method comprises the following steps: A, word vector generation: performing word segmentation on character-level input data through neural network modeling and generating a word vector; B, language model generation: establishing grammar rules by utilizing the characteristic of memory of the recurrent neural network in time; C, word alignment model generation: obtaining the probability of translating multiple words in a source language statement into target language words; D, output: translating an inputted source language into a target language; E, translation model combination: establishing a deep nerve translation model (RNN-embed) based on character encoding in combination with neural network models in the four steps and accelerating model training by using CPU parallel computation.

For interlaced B-frames, an encoder / decoder computes direct mode motion vectors for a current macroblock by selecting at most one representative motion vector for each of the top and bottom fields of the co-located macroblock of the previously decoded, temporally subsequent anchor. For example, the selecting is performed based at least in part on the mode of coding the current interlaced B-frame's macroblock (e.g., 1MV mode, 2 Field MV mode, etc.). For interlaced B-fields, an encoder / decoder selects direct mode motion vectors using logic that favors the dominant polarity if the corresponding macroblock in the corresponding field of the next anchor picture was coded using four motion vectors. For example, if the corresponding macroblock's same polarity motion vectors outnumber its opposite polarity motion vectors, the encoder / decoder calculates the median of the same polarity motion vectors to obtain a motion vector for deriving direct mode motion vectors.

The present invention relates to a method and device for generating a depth image, a method for encoding / decoding the depth image, an encoder / decoder for the same, and a recording medium recording an image generated by the method, which are related to a depth image encoding method that can effectively reduce a bit generation rate using a reference image obtained by at least one camera and improve encoding efficiency. A depth image generating method according to an embodiment of the invention includes a step (a) of obtaining a depth image at a viewpoint and setting the obtained depth image to a reference image; a step (b) of applying a 3D warphing method to the reference image and predicting and generating a depth image at a specific viewpoint; and a step (c) of removing a hole that exists in the predicted and generated depth image.

An encoder, a decoder, corresponding encoding and decoding methods, video signal structure, and storage media are provided for scalable video encoding and decoding. A scalable video encoder includes an encoder (100) for encoding a picture to form a base layer bitstream and an enhancement layer bitstream. The base layer bitstream and the enhancement layer bitstream are formed by partitioning the picture into a plurality of image blocks, grouping the plurality of image blocks into one or more slice groups in the base layer bitstream and into two or more slice groups in the enhancement layer bitstream, encoding all of the one or more slice groups in the base layer bitstream and less than all of the two or more slice groups in the enhancement layer such that at least one slice group from among the two or more slice groups is intentionally un-encoded in the enhancement layer bitstream, encoding a syntax element in a header to indicate the at least one intentionally un-encoded slice group in the enhancement layer.

An autonomous and portable smartcard reader device incorporates a high level of embedded security countermeasures. Data transfers are encrypted with two specific input devices, namely a light sensor and PIN or other keyboard entry, and at the output through the use of a dual-tone encoder-decoder. The unit may be used alone or as a plug-in to another device such as a PDA, cell phone, or remote control. The reader may further be coupled to various biometric or plug-in devices to achieve at least five levels of authentication, namely, (1) the smartcard itself; (2) the smartcard reader; (2) the PIN; (3) private-key cryptography (PKI); and (5) the (optional) biometric device. These five levels account for an extremely strong authentication applicable to public networking on public / private computers, and even on TV (satellite, cable, DVD, CD AUDIO, software applications. Transactions including payments may be carried out without any risk of communication tampering, authentication misconduct or identity theft. In essence, the device is a closed box with only two communication ports. The emulation of the device is therefore extremely complex due to the fact that it involves PKI and or identity-based encryption (IBE), key pair, elliptic curves encryption scheme, hardware serialization for communication and software implementation, in conjunction with a specific hardware embodiment and service usage infrastructure component that returns a response necessary for each unique transaction.

A joint code-encoder-decoder design approach and circuit architecture design for (3,k)-regular LDPC coding system implementation. The joint design process relies on a high girth (2,k)-regular LDPC code construction. The decoder realizes partly parallel decoding. The encoding scheme only contains multiplications between sparse matrices and vector and multiplication between a very small dense matrix and vector.

The invention relates to an omnibearing obstacle detection method based on multi-sensor fusion. The method comprises the following steps: firstly, collecting images and laser point cloud data in different scenes through a laser radar and a camera; carrying out aerial projection on the laser point cloud data, carrying out feature extraction after two-dimensional gridding segmentation, and obtaininga target candidate box in an aerial view; obtaining an image region candidate box by using a one-stage target detection network model; and then fusing the target area candidate box and the image areacandidate box in the aerial view by using spatial registration; designing a segmentation sub-network of an encoder decoder structure in a three-dimensional space point cloud classification branch toclassify each point cloud to obtain an accurate category of an obstacle target in a three-dimensional space; and the three-dimensional candidate box position regression branch calculating the coordinate deviation and loss value of the predicted target and the marked target of the corresponding category, and outputting the deviated predicted obstacle position information to obtain more accurate position information of the three-dimensional space obstacle.