Realtek Semiconductor Inc.

Globalwafers Co., Ltd.

Yen-Hsun Chu

Masami Nakanishi

Chia-Chun Cheng

Yu-Sheng Su

Yung-Chi Wu

Yih-Liang Shen

Ling Sun

Chung-Sheng Chang

Tai-Shih Chi

Yi-Hua Fan

Ya-Ching Lai

A video classification system and method and a neural network training system are provided. The video classification system captures multiple sampled images, encodes first and second images of all sampled images into feature matrices of the sampled images using a convolutional neural network module, and obtains the classification of the videos based on a recurrent neural network module and the feature matrices. The neural network training system captures multiple first sampled images and uses first training samples of all the first sampled images to train the convolutional neural network module and a classification module to obtain multiple parameter values of the convolutional neural network module. The neural network training system trains the recurrent neural network module based on the parameter values and multiple second sampled images.

Video classification system, video classification method, and neural network training system

A purification apparatus and a method of purifying hot zone parts are provided. The purification apparatus is configured to remove impurities attached on at least one hot zone part. The purification apparatus includes a crystal high temperature furnace, an enclosed box disposed in the crystal high temperature furnace, an outer tube connected to the crystal high temperature furnace and the enclosed box, an inner tube disposed in the outer tube, and a gas inlet cover connected to the outer tube. The crystal high temperature furnace includes a furnace body, a furnace cover, and a thermal field module disposed in the furnace body. The gas inlet cover is configured to input a noble gas into the enclosed box through the inner tube, and the thermal field module is configured to heat the noble gas so that the impurities are heated and vaporized through the noble gas.

Purification apparatus and method of purifying hot zone parts

A movie detection system and a movie detection method are provided. The method includes: capturing a current image of an input video source; performing a pre-processing process and an image scaling on the current image, cutting and retaining a top and a bottom of the current image, and joining the top and bottom to generate a joined current image; inputting the joined current image into a trained machine learning model to classify the joined current image as a movie image or a non-movie image. The trained machine learning model is generated by performing a training process on a machine learning model, and the training process is performed based on a plurality of joined training images. The joined training images are generated by performing the pre-processing process on a plurality of movie images with black bars and a plurality of non-movie images without black bars.

Movie detection system and movie detection method

The audio processing method may include: utilizing a first convolution layer circuit and a second convolution layer circuit to perform convolution processing on an audio mixture signal, respectively, in order to generate an input feature map; performing separation processing corresponding to a predetermined neural network model on the input feature map to obtain a first output feature map and a second output feature map respectively corresponding to a first type and a second type; and utilizing a first deconvolution layer circuit and a second deconvolution layer circuit to perform deconvolution processing on different portions of the first output feature map, respectively, and utilizing the first deconvolution layer circuit and the second deconvolution layer circuit to perform deconvolution processing on different portions of the second output feature map, respectively, in order to generate corresponding processing results, for generating multiple audio output signals.

Audio processing method, audio processing device, and associated non-transitory computer-readable medium

Growing community of inventors

Hsinchu, Taiwan

Yen-Hsun Chu