Htc Corporation

Tung-Ting Yang

Hung-Yi Yang

Chun-Li Wang

Cheng-Hsien Lin

Yao-Chen Kuo

Jen-Chun Wang

A model constructing method for a neural network model applicable for image recognition processing is disclosed. The model constructing method includes the following operation: updating, by a processor, a plurality of connection variables between a plurality of layers of the neural network model, according to a plurality of inputs and a plurality of outputs of the neural network model. The plurality of outputs represent a plurality of image recognition results. The plurality of connection variables represent a plurality of connection intensities between each two of the plurality of layers.

Model constructing method of neural network model, model constructing system, and non-transitory computer readable storage medium

An image processing method includes the following steps: dividing an object block into a two-dimensional image; identifying at least one view hotspot in a viewing field corresponding to pupil gaze direction; receiving the view hotspot and an indicator signal; wherein the indicator signal is used to remark the object block; and generating a mask block that corresponds to the object block according to the view hotspot; wherein the indicator signal determines the label of the mask block.

Image processing system and image processing method

The disclosure provides a method for generating action according to an audio signal and an electronic device. The method includes: receiving an audio signal and extracting a high-level audio feature therefrom; extracting a latent audio feature from the high-level audio feature; in response to determining that the audio signal corresponds to a beat, obtaining a joint angle distribution matrix based on the latent audio feature; in response to determining that the audio signal corresponds to a music, obtaining a plurality of designated joint angles corresponding to a plurality of joint points based on the joint angle distribution matrix; and adjusting a joint angle of each of the joint points on the avatar according to the designated joint angles.

Method for generating action according to audio signal and electronic device

An image processing method includes the following steps: receiving a two-dimensional image and segmenting an object block in the two-dimensional image, masking the object block with a color block to generate a mask image; inputting the two-dimensional image and the mask image into a first image processing model, outputting a feature vector from the first image processing model; and inputting the two-dimensional image into a second image processing model to obtain a feature map. The feature map comprises a plurality of feature channel maps, and the feature vector contains a plurality of feature values. Each of the feature channel maps corresponds to one of the feature values in sequence. A weighted feature map is generated according to the feature channel maps and the feature values.

An image segmentation method is providing that includes the steps outlined below. A first image corresponding to a first time spot and a second image corresponding to a second time spot are received from a video stream, wherein the second time spot is behind the first time spot. Segmentation is performed on the second image by a segmentation neural network to generate a label probability set. Similarity determination is performed on the first image and the second image by a similarity calculation neural network to generate a similarity probability set. The label probability set and the similarity probability set are concatenated by a concatenating unit to generate a concatenated result. Further inference is performed on the concatenated result by a strategic neural network to generate a label mask.

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Taoyuan, Taiwan

Tung-Ting Yang