Markany Inc.

Skhynix Inc.

Min Soo Park

So Won Kim

Ji Seop Moon

Euee Seon Jang

Tai Yoon Lee

Dong Young Lee

Sung Soo Chi

Geun Il Lee

Jung Hwan Ji

Hyun Wook Han

Dong Hwan Shin

Min Jun Choi

Hyungyu Kim

Seung Yeob Chae

Moon Yub Na

Kun Tae Kim

Gyeong Gi Noh

Jin Se Kim

A refresh circuit is configured to generate a counting signal by counting a refresh command and to generate a plurality of preliminary refresh cycle change signals by decoding the counting signal. The refresh circuit is also configured to change a refresh cycle based on one of the plurality of preliminary refresh cycle change signals and to perform a refresh operation.

Refresh circuit and semiconductor memory device including the same

A semiconductor package includes a package substrate and a semiconductor chip mounted on the package substrate. The package substrate includes a signal bump land and an anchoring bump land, and the semiconductor chip includes a signal bump and an anchoring bump. The signal bump is bonded to the signal bump land, the anchoring bump is disposed to be adjacent to the anchoring bump land, and a bottom surface of the anchoring bump is located at a level which is lower than a top surface of the anchoring bump land with respect to a surface of the package substrate.

Semiconductor packages including an anchor structure

Provided is an artificial neural network learning apparatus for deep learning. The apparatus includes an input unit configured to acquire an input data or a training data, a memory configured to store the input data, the training data, and a deep learning artificial neural network model, and a processor configured to perform computation based on the artificial neural network model, in which the processor sets the initial weight depending on the number of nodes belonging to a first layer and the number of nodes belonging to a second layer of the artificial neural network model, and determines the initial weight by compensation by multiplying a standard deviation (&#x3c3;) by a square root of a reciprocal of a probability of a normal probability distribution for a remaining section except for a section in which an output value of the activation function converges to a specific value.

Weight initialization method and apparatus for stable learning of deep learning model using activation function

Provided is a method for reconstructing content image data. The method includes selecting a first point and a second point in a first image of first content, selecting a third point and a fourth point in a second image of second content (the second image is an image corresponding to the first image and the third point and the fourth point are points in an image corresponding to the first point and the second point, respectively), generating a first reference vector using the first point and the second point, generating a second reference vector using the third point and the fourth point, calculating a rotation, scale, and transformation (RST) value from the first image to the second image using the first reference vector and the second reference vector; and reconstructing the second content using the calculated RST value.

Method and apparatus for reconstructing content image data

A pulse width compensation circuit may include a voltage control circuit and a pulse width adjustment circuit. The voltage control circuit may sense a voltage level of a first power supply voltage and generate a voltage control signal. The pulse width adjustment circuit may generate an output signal by changing a pulse width of an input signal based on the voltage control signal.

Pulse width compensation circuit and a semiconductor apparatus using the pulse width compensation circuit

A method and apparatus for watermarking digital content and a data extraction method are disclosed. The digital content watermarking method includes: generating private and public keys corresponding to the user terminal; generating watermark data containing user identity information corresponding to the user terminal and user details associated with the watermark data; generating encrypted data by encrypting the watermark data and the user details with the private key; transmitting the watermark data, the encrypted data, and the public key to a server; receiving digital content when authorized by the server; and watermarking the digital content with the watermark data.

Method and apparatus for watermarking of digital content, method for extracting information

A method of inserting additional data into a moving image stream, according to some embodiments of the present invention, includes receiving a first coded bitstream, electing a first picture PA into which additional data is to be inserted from the first coded bitstream, generating a first picture PA' by inserting the additional data into the selected first picture PA, selecting a second picture PB directly referring to the first picture PA, generating a second picture PB&#x2032; by transforming and coding the selected second picture PB in a manner that decoding the second picture PB&#x2032; obtains the second picture PB with reference to the first picture PA&#x2032; and generating a data sequence based on the first picture PA&#x2032; and the second picture PB.

Method and apparatus for inserting additional data into video stream without degrading picture quality

Disclosed is a watermark embedding method. The method includes receiving an original image, generating a watermark image based on the selected watermark pattern, generating an alpha blended stego image by alpha blending the original image and the watermark image, and providing the alpha blended stego image, in which the watermark image is generated by considering at least one of allowable pixel value range and alpha value &#x3b1; range of the watermark pattern applied to a first pixel of the original image, wherein the at least one of allowable pixel value range and alpha value &#x3b1; range are determined by the difference of pixel value of the first pixel between the original image and the stego image by embedding the watermark pattern to the first pixel.

Watermark embedding method and apparatus, and system

One aspect of the present invention discloses a watermark embedding method. The method includes: inputting an original bitstream; determining a first frame for embedding a watermark in the input original bitstream; selecting one of frames after the first frame as a second frame; generating the first frame a bidirectional-coded frame (B frame) referring to the second frame; generating the second frame as a reference frame of the first frame; and embedding the watermark in the first frame generated as the B frame.

Watermark embedding apparatus and method through image structure conversion

Provided are an apparatus and a method for detecting a scene cut frame. The apparatus and a method for detecting a scene cut frame includes an image selector configured to select input images by n image frames while shifting an input image at h frame intervals; a candidate frame detector configured to detect a candidate frame from the selected n image frames using at least one of a plurality of codecs and a plurality of scene cut detecting algorithms; and a final frame detector configured to detect a frame having a count value higher than a threshold value as a final scene cut frame by performing histogram analysis based on the detected candidate frame, wherein the h and the n are a real number greater than zero and the h is smaller than the n.

Apparatus and method for detecting scene cut frame

A semiconductor system may include a first semiconductor device configured to output commands, addresses and data. The semiconductor system may include a second semiconductor device configured to convert a logic level combination of the data when only any one of bits of the data is a different logic level, and store the data in response to the commands and the addresses, in a write operation.

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Uiwang-si, South Korea

Min Soo Park