Abstract: The present invention provides an object position determination circuit including a receiving circuit and a detecting circuit. In operations of the object position determination circuit, the receiving circuit receives an image signal; and the detecting circuit detects a position of an object in an Nth frame of the image signal, determines a partial region within an (N+M)th frame of the image signal according to the position of the object in the Nth frame, and only detects the partial region within the (N+M)th frame to determine a position of the object in the (N+M)th frame, wherein N and M are positive integers.

Abstract: A skin color image gamut weight detecting method and a device thereof are provided. The method includes: receiving an image including first color components and second color components; obtaining a skin color region, a skin color category, and a first gamut; obtaining first color component values and first cardinal numbers according to the first color components; obtaining second color component values and a plurality of second cardinal numbers according to the second color components; obtaining a second gamut and a weight center according to the skin color category, the first cardinal numbers, the second cardinal numbers, the first color component values, and the second color component values; obtaining a first weight area and a second weight area according to the first gamut and the second gamut; and obtaining a skin color gamut weight map according to the weight center, the first weight area, and the second weight area.

Abstract: An image adjusting method includes: detecting objects in an input image and classifying the objects through a deep learning model, thereby obtaining at least one category included in the input image, a weight value corresponding to each of the categories, and at least one block of the input image corresponding to each of the categories; obtaining a color information and a coordinate information of each of the blocks; and adjusting at least one of the sharpness, dynamic contrast control (DCC), and independent color management (ICM) of each of the block of the input image according to the weight value, the coordinate information, and the color information corresponding to each of the blocks, thereby generating an output image.

Abstract: An object tracking method includes the following operations: detecting a first area of an object in a first video frame based on a deep learning model, in order to forecast a forecast area of the object in a forecast video frame according to the first video frame and the first area; detecting a second area of the object in a second video frame based on the deep learning model; and determining a correlation between the forecast area and the second area, in order to track the object.

Abstract: An audio processing method and an audio processing system are provided. In the audio processing method, an audio signal is first provided. Then, plural predetermined categories are provided. Then, a classification step is performed on the audio signal according to the predetermined categories. Thereafter, a transform step is performed on the audio signal to convert the audio signal into a frequency domain. Then, a panning step and a summing step are performed on amplitude signals of the audio signal to obtain a total amplitude signal. Thereafter, a separation step and a summing step are performed on phase signals of the audio signal to obtain a total phase signal. Then, an inverse transform step is performed on the total amplitude signal and the total phase signal to obtain an optimized audio signal in a time domain.

Abstract: A skin color image gamut weight detecting method and a device thereof are provided. The method includes: receiving an image including first color components and second color components; obtaining a skin color region, a skin color category, and a first gamut; obtaining first color component values and first cardinal numbers according to the first color components; obtaining second color component values and a plurality of second cardinal numbers according to the second color components; obtaining a second gamut and a weight center according to the skin color category, the first cardinal numbers, the second cardinal numbers, the first color component values, and the second color component values; obtaining a first weight area and a second weight area according to the first gamut and the second gamut; and obtaining a skin color gamut weight map according to the weight center, the first weight area, and the second weight area.

Abstract: An audio processing method and an audio processing system are provided. In the audio processing method, an audio signal is first provided. Then, plural predetermined categories are provided. Then, a classification step is performed on the audio signal according to the predetermined categories. Thereafter, a transform step is performed on the audio signal to convert the audio signal into a frequency domain. Then, a panning step and a summing step are performed on amplitude signals of the audio signal to obtain a total amplitude signal. Thereafter, a separation step and a summing step are performed on phase signals of the audio signal to obtain a total phase signal. Then, an inverse transform step is performed on the total amplitude signal and the total phase signal to obtain an optimized audio signal in a time domain.

Abstract: The present invention provides an object position determination circuit including a receiving circuit and a detecting circuit. In operations of the object position determination circuit, the receiving circuit receives an image signal; and the detecting circuit detects a position of an object in an Nth frame of the image signal, determines a partial region within an (N+M)th frame of the image signal according to the position of the object in the Nth frame, and only detects the partial region within the (N+M)th frame to determine a position of the object in the (N+M)th frame, wherein N and M are positive integers.

Abstract: An object tracking method includes the following operations: detecting a first area of an object in a first video frame based on a deep learning model, in order to forecast a forecast area of the object in a forecast video frame according to the first video frame and the first area; detecting a second area of the object in a second video frame based on the deep learning model; and determining a correlation between the forecast area and the second area, in order to track the object.

Abstract: An image adjusting method includes: detecting objects in an input image and classifying the objects through a deep learning model, thereby obtaining at least one category included in the input image, a weight value corresponding to each of the categories, and at least one block of the input image corresponding to each of the categories; obtaining a color information and a coordinate information of each of the blocks; and adjusting at least one of the sharpness, dynamic contrast control (DCC), and independent color management (ICM) of each of the block of the input image according to the weight value, the coordinate information, and the color information corresponding to each of the blocks, thereby generating an output image.

Abstract: An audio processing method includes: providing an input audio signal; performing a transformation process to transform the input audio signal from a time domain to a frequency domain; performing a panning process on an amplitude spectrum corresponding to the input audio signal to obtain a panning amplitude signal; performing a first broader process and a second broader process on a phase spectrum corresponding to the input audio signal to obtain a left channel separation phase signal and a right channel separation phase signal; performing a first inverse transformation process on the panning amplitude signal and the left channel separation phase signal and performing a second inverse transformation process on the panning amplitude signal and the right channel separation phase signal to obtain an optimized left channel output audio signal and an optimized right channel output audio signal corresponding to the time domain.

Abstract: The present invention provides an object position determination circuit including a receiving circuit, a detecting circuit and a calculating circuit. In the operations of the object position determination circuit, the receiving circuit is configured to receive an Nth frame and an (N+M)th frame of an image signal, where N is a positive integer, and M is a positive integer greater than one; the detecting circuit is configured to detect positions of an object in the Nth frame and the (N+M)th frame; and the calculating circuit is configured to generate a position of the object in an (N+M+A)th frame according to the positions of the object in the Nth frame and the (N+M)th frame, wherein A is a positive integer.