OBJECT TRAKING METHOD AND APPARATUS

    公开(公告)号:US20220122273A1

    公开(公告)日:2022-04-21

    申请号:US17227719

    申请日:2021-04-12

    Abstract: An object tracking method includes generating a feature map of a search image and generating a feature map of a target image, obtaining an object classification result and a basic bounding box based on the feature map of the search image and the feature map of the target image, obtaining an auxiliary bounding box based on the feature map of the search image, obtaining a final bounding box based on the basic bounding box and the auxiliary bounding box, and tracking an object based on the object classification result and the final bounding box.

    FACE VERIFICATION METHOD AND APPARATUS

    公开(公告)号:US20210089754A1

    公开(公告)日:2021-03-25

    申请号:US17111907

    申请日:2020-12-04

    Abstract: Disclosed is a face verification method and apparatus. The method including analyzing a current frame of a verification image, determining a current frame state score of the verification image indicating whether the current frame is in a state predetermined as being appropriate for verification, determining whether the current frame state score satisfies a predetermined validity condition, and selectively, based on a result of the determining of whether the current frame state score satisfies the predetermined validity condition, extracting a feature from the current frame and performing verification by comparing a determined similarity between the extracted feature and a registered feature to a set verification threshold.

    NEURAL NETWORK METHOD AND APPARATUS
    34.
    发明申请

    公开(公告)号:US20200005146A1

    公开(公告)日:2020-01-02

    申请号:US16564494

    申请日:2019-09-09

    Abstract: A lightened neural network, method, and apparatus, and recognition method and apparatus implementing the same. A neural network includes a plurality of layers each comprising neurons and plural synapses connecting neurons included in neighboring layers. Synaptic weights with values greater than zero and less than a preset value of a variable a, which is greater than zero, may be at least partially set to zero. Synaptic weights with values greater than a preset value of a variable b, which is greater than zero, may be at least partially set to the preset value of the variable b.

    ADAPTIVE TIME/FREQUENCY-BASED AUDIO ENCODING AND DECODING APPARATUSES AND METHODS
    38.
    发明申请
    ADAPTIVE TIME/FREQUENCY-BASED AUDIO ENCODING AND DECODING APPARATUSES AND METHODS 有权
    自适应时间/频率的音频编码和解码设备和方法

    公开(公告)号:US20140032213A1

    公开(公告)日:2014-01-30

    申请号:US14041324

    申请日:2013-09-30

    CPC classification number: G10L19/12 G10L19/02 G10L19/20

    Abstract: Adaptive time/frequency-based audio encoding and decoding apparatuses and methods. The encoding apparatus includes a transformation & mode determination unit to divide an input audio signal into a plurality of frequency-domain signals and to select a time-based encoding mode or a frequency-based encoding mode for each respective frequency-domain signal, an encoding unit to encode each frequency-domain signal in the respective encoding mode, and a bitstream output unit to output encoded data, division information, and encoding mode information for each respective frequency-domain signal. In the apparatuses and methods, acoustic characteristics and a voicing model are simultaneously applied to a frame, which is an audio compression processing unit. As a result, a compression method effective for both music and voice can be produced, and the compression method can be used for mobile terminals that require audio compression at a low bit rate.

    Abstract translation: 自适应时间/频率音频编码和解码装置和方法。 编码装置包括:变换和模式确定单元,用于将输入音频信号分成多个频域信号,并且为每个相应的频域信号选择基于时间的编码模式或基于频率的编码模式,编码 单元,用于对各个编码模式中的每个频域信号进行编码,以及比特流输出单元,用于输出每个各个频域信号的编码数据,分割信息和编码模式信息。 在装置和方法中,声音特性和语音模型被同时应用于作为音频压缩处理单元的帧。 结果,可以产生对音乐和语音有效的压缩方法,并且压缩方法可以用于需要低比特率的音频压缩的移动终端。

Patent Agency Ranking