Abstract: The present disclosure relates to a watermarking method for responding to screen capture of information processing devices such as computers, and corresponding devices and systems. According to the present disclosure, a method of operation for an information processing device including a processor and a memory may be provided. The method may acquire a device identification code for the information processing device and store it in the memory. The processor may detect a screen capture attempt on the information processing device. The processor may insert a watermark into captured screen data stored in the memory. The watermark and the device identification code may be associated with each other.

Abstract: The present disclosure relates to the use of artificial intelligence and, more particularly, to an efficient use of a vision-language model. A vision-language model-based image classification method according to one embodiment of the present disclosure comprises entering a data list including at least one image, entering a prompt specifying classification of an image, extracting a word classified into at least one class from the prompt, reading a graph defining a classification order of at least one class, selecting a node of the graph, reading class information corresponding to the node, classifying an image based on the prompt and class information, and returning a classification result if the node is a leaf node.

Abstract: One aspect of the present invention discloses a device for content security. The device includes: an application execution unit configured to generate and control content in response to a content control command requested by a user; and a DRM agent configured to communicate with the application execution unit, to detect the content control command generated by the application execution unit, and to perform control on the content, and the DRM agent comprises a tracing module configured to insert security information into the content in order to prevent and trace content leakage.

Abstract: The present disclosure relates to a technology of measuring and analyzing the pose of an objective (a body) including a human body, and a system for providing a guide that can improve a concordance ratio of a copying pose to a standard pose by comparing pose information. In order to achieve the objective described above, a method of providing a user pose guide using a terminal device according to an embodiment of the present disclosure may include: inputting video selection information and obtaining a first video, in which a first action has been recorded, on the basis of the video selection information; obtaining a first action related to the first video; displaying the first video; obtaining a second video in which a second action copying the first action has been recorded; comparing the first action and the second action; and displaying pose guide information on the basis of the comparison.

Abstract: The present disclosure relates to a method of identifying a posture and detecting a specific behavior based on artificial intelligence. A method of detecting an abnormal behavior in a video based on a computational device according to an embodiment of the present disclosure may involve obtaining at least one video frame; obtaining at least one piece of human posture information from a first artificial intelligence based on the obtained video frame; obtaining information on whether an abnormal behavior has been detected and at least one piece of abnormal behavior information from a second artificial intelligence based on at least one piece of human posture information obtained in chronological order; and marking the at least one video frame based on the information on whether an abnormal behavior has been detected and the at least one piece of abnormal behavior information.

Abstract: A system and method for distributing data are provided. The system for distributing data which manages the distribution of data from one or more data transmitting nodes to a data receiving node, according to one embodiment of the present invention, comprises: an off-chain pool management unit; an integrity authentication unit; a data distribution verification unit; and a block chain storage unit.

Abstract: 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 (?) 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.

Abstract: One aspect of the present invention discloses a text watermarking method for hiding user information. The text watermarking method comprises inputting encryption variable set information with which to encrypt a target document, wherein the target document includes text, generating an encrypted block based on the encryption variable set information and embedding the encrypted block into the target document by using an embedding rule of the encrypted block. The encryption variable set information includes a predetermined random key value, a user ID, and information indicating the embedding rule of the encrypted block. The predetermined random key value and the information indicating an embedding rule of the encrypted block are managed in a non-disclosure manner.

Abstract: One aspect of the present invention discloses a device for content security. The device includes: an application execution unit configured to generate and control content in response to a content control command requested by a user; and a DRM agent configured to communicate with the application execution unit, to detect the content control command generated by the application execution unit, and to perform control on the content, and the DRM agent comprises a tracing module configured to insert security information into the content in order to prevent and trace content leakage.

Abstract: 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.

Abstract: One aspect of the present invention discloses an apparatus for detecting additional data for preventing forgery of video data and displaying the video content. The apparatus includes a content input unit configured to receive the video content (the video content including the additional data), a display unit configured to display the video content, an additional data detector configured to detect the additional data from the video content (the additional data including a watermark), and a display controller configured to control a display screen of the video content according to an additional data detection result.

Abstract: 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.

Abstract: 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? by transforming and coding the selected second picture PB in a manner that decoding the second picture PB? obtains the second picture PB with reference to the first picture PA? and generating a data sequence based on the first picture PA? and the second picture PB.

Abstract: One aspect of the present invention discloses a watermark insertion method. The method includes: segmenting target text into pieces of page content; obtaining a watermark variable comprising a line alternation value indicative of a watermark mode changed for each line of the segmented page content and a watermark mode setting value; and applying a flip-flop component insertion algorithm for inserting a watermark into each of the pieces of segmented page content based on the obtained watermark variable.

Abstract: Disclosed are a data management system and method of distributing a digital content file by using an on-off hybrid blockchain network technology, in which transaction information data having a large volume is processed on an off-blockchain network and the final results of each transaction are recorded on an on-blockchain network. The system and method have an advantage of increasing the number of transactions that can be processed per second, thereby enabling distribution of a large volume of data. In addition, the system and method can encourage every node across a network to participate in distribution of data as file senders by rewarding each of the nodes for the participation on the basis of the contribution of each node.

Abstract: One aspect of the present invention discloses a client device for content security. The device includes: an application execution unit configured to control content in response to a content control command requested in a user level; a DRM agent configured to communicate with a DRM server and the application execution unit in the user level, to detect the content control command, to receive an encryption/decryption key and security policy for content from the DRM server, to provide the received encryption/decryption key and security policy to a client kernel module, and to transmit an encryption/decryption request; and the client kernel module configured to receive the encryption/decryption key and the security policy, to store the encryption/decryption key and security policy in a secure box of a kernel level, and to perform encryption or decryption on the content based on the encryption/decryption key and security policy in response to the encryption/decryption request.

Abstract: 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 ? 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 ? 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.

Abstract: Apparatus and method for protecting digital rights of model data learned by artificial intelligence for smart broadcasting contents. A learning apparatus for protecting digital rights includes a learning model setup unit accepting input of a learning model, a data loader importing or receiving one or more of learning data, a learning engine forcing the learning model to learn with the learning data imported or received at the data loader, and a storage unit storing the learning model forced to learn by the learning engine, wherein the learning data include information on a subject of rights and data other than the information on a subject of rights, and wherein the learning model learning the information on a subject of rights is configured to have a fixed output value related to the information on a subject of rights.

Abstract: The present invention includes: an electronic document receiving unit receiving an original electronic document; a text information extracting unit extracting text and text location information by analyzing content of the original electronic document; an image information extracting unit extracting an image and image location information by analyzing the content; a verification data generating unit generating original forgery falsification verification data by using at least one of the text and the text location information, the image and the image location information; and a secure electronic document generating unit generating a secure original electronic document after encrypting and inserting the original forgery falsification verification data in a preset position of the original electronic document.

Abstract: The present invention includes: an electronic document receiving unit receiving an original electronic document; a text information extracting unit extracting text and text location information by analyzing content of the original electronic document; an image information extracting unit extracting an image and image location information by analyzing the content; a verification data generating unit generating original forgery falsification verification data by using at least one of the text and the text location information, the image and the image location information; and a secure electronic document generating unit generating a secure original electronic document after encrypting and inserting the original forgery falsification verification data in a preset position of the original electronic document.