133 results about "Copy detection" patented technology

The disclosure describes systems for creating and authenticating printed objects using authentication and copy detection watermarks. For example, one verification system includes a watermark decoder and a verification module. The watermark decoder detects a copy detection watermark in a printed object to determine whether the printed object has been reproduced. The verification module processes a message decoded from an authentication watermark on the printed object to authenticate the printed object or bearer of the printed object. The authentication and copy detection watermarks may be implemented as the same or different watermarks. For example, the copy detection watermark may be a fragile watermark that carries the message and that degrades in response to a reproduction operation, such as photocopying or scanning and then reprinting the object. Alternatively, the authentication and copy detection watermarks may be separate watermarks embedded in an image that is printed on the object. The authentication watermark, in some applications, includes an identifier that links the object to a database entry with related information about the object. This related information can be used to check the bearer of the object by comparing it with attributes of the bearer (such as a user ID or photo) or the validity of the object by comparing it with attributes that are visible or machine readable on the object.

A method for detecting a copy of a digital image initiates with dividing a suspected copy of a digital image into sub-images. Then, the average intensities associated with each of the sub-images is determined. Next, the average intensities are transformed into a series of coefficients. Then, a rank matrix from the series of coefficients is defined. Next, the rank matrix from the series of coefficients is compared to a rank matrix of a query image to determine if the suspected copy is an actual copy of the digital image. A computer readable media, a computer system and computer code configured to be executed on a computer system are also provided.

Systems and methods for detecting copies of documents are described. In one example, a system and method for detecting copies of documents utilizes multiple authentication tests performed using original and scanned copy detection patterns. The system captures a CDP that may be skewed or improperly sized. The system also retrieves or reconstitutes the expected CDP. Then the system performs a first correlation to determine if the captured CDP indicates the correct document identification and then if necessary, one or more authentication tests are applied wherein the authentication test may be grouped into distinct orthogonal test groups. The authentication tests applied may be selected according to usefulness, system throughput or target document valuation parameters.

The invention discloses a network multimedia copyright active following and monitoring system. By taking digital fingerprinting and copy detection technology as a core and closely combining with a conventional DRM system, a frame for discovering, following, administrating and monitoring illegal multimedia copies under a network environment is constructed and an active following mechanism, digital fingerprint generation and embedding technology supporting bulk capacity users, copy detection technology and copyright registration and administration technology are realized. The system comprises a characteristic database, a monitoring result database, a network media database, a digital fingerprint database, a copyright registration and management module, a digital copyright management module, a digital fingerprint detection module, a client module, a fingerprint certificate management module, a copyright monitoring module, a copy detection module, a network crawling module and a user query and display interface. Aiming at problems existing in multimedia digital copyright, the invention provides the network multimedia copyright active following and monitoring system, which realizes the copyright active following mechanism and overcomes the shortcoming of the passiveness of a conventional digital fingerprint system.

The invention relates to a detection method on similarity of academic thesis based on a computer searching system, to provide a searching model and a similarity algorithm with pertinence through using structures and language features of the academic thesis, thereby increasing speed and efficiency of copy edit of the expert when the thesis is submitted to a higher level for approval or revision. A technical scheme of the invention comprises: an academic thesis copy detecting method based on the computer searching system, comprising the steps of: the step of building an academic thesis database on a server; the step of building a storage space of the academic thesis data based on the computer searching system; the step of building an alternation window on the server for the user to input searching condition; the step of submitting the academic thesis to be detected; building the academic thesis data ans storing according to the set searching condition; the step of comparing the academic thesis data and the data in a source database; the step of submitting the compacting result to the user by the server.

A method for performing audio copy detection, comprising, providing a query audio data, the query audio data having a succession of frames and also providing a plurality of test audio data units, each test audio data unit including a succession of frames. For each test audio data unit the method generates a test fingerprint set. The generation of the test fingerprint test including computing similarity measurements between at least one frame of the test audio data and a plurality of frames of the query audio data. A test audio data unit is then selected as a match for the query audio data at least in part on the basis of the fingerprint sets.

The invention discloses an image copying detection method based on local digital fingerprint, which comprises the following steps that: local SIFI features are extracted from each image in a tested image library, local digital fingerprint conversion is carried out to the high-dimensional SIFT feature vector and the frequency of the fingerprint in each image is calculated so as to establish a digital fingerprint database; and when the image is inquired, the SIFT features are first extracted from the inquired image and then converted into the digital fingerprint and the information of unreliable positions during the conversion process, then inquiry is carried out in an inverted index structure in a tested fingerprint library by integrating the unreliable information so as to quickly obtain and inquire a tested image set associated with the local digital fingerprint of the inquired image, measure the similarity of the inquired image and the associated tested image and judge whether is image is copied. In the detection of the copying performance, the method has very good recall rate and precision; and in detecting the copying efficiency, the method can also detect the copying of the inquired image.

Disclosed is an image restoring apparatus and a method thereof, which sets a restoration image area to establish a portion of a target image area to be restored as a restoration image area to be restored with priority according to a request for an image restoration; sets a search area to establish an area with a predetermined size including the restoration image area as a search area; detects a similar image area to search for the most similar image area to the restoration image area within the search area; and reconstructs the deteriorated image in a natural manner by copying the image of the detected similar image area and attaching the same to the restoration image area.

The invention discloses a multi-feature fusion based image copying detection method. The multi-feature fusion based image copying detection method comprise the following steps of 1 extracting and stitching multiple groups of features of a training image, 2 utilizing a classifier to generate a training model, 3 extracting and stitching multiple groups of features of an image to be trained and 4 utilizing the generated training model and utilizing the classifier to judge the image to be trained. The multi-feature fusion based image copying detection method is different from any image copying detection method in the prior art and is a novel effective detection method.

The invention discloses a content-based robust image copy detection method, which has the following steps: to extract the feature vector of the testing image; to select the integral DCT transform coefficients of a plane Y of the original image YCbCr color space, to calculate the order measurement of the coefficients to obtain a coefficient sequence which is used as the feature vector of the testing image; then to establish testing image representative vector libraries; to execute clustering analysis to the feature vector sets of the testing image representative vector libraries to select the feature vectors closest to the clustering center as the clustering representatives to constitute a clustering representative vector library; to respectively search the matched testing image representative vector libraries to inquire the image feature vectors and the image feature vectors after rotation compensation, and to determine the belonged class; then to execute sequential matching search to each image feature vector in the clustering, and to determine whether the copy of the inquired image exists. The invention shows a higher robustness to help improve the inquiring efficiency, and has practical value as well as wide application in digital image database arrangement, digital image copyright protection and piracy tracking.

The invention belongs to the technical field of text processing, in particular to a method for carrying out harmful content recognition on network text and short message service, which comprises the following steps of: inputting a text to be detected, determining a text coding format, carrying out format conversion on the text, comparing the text with a short string word bank, comparing the text with a long string word bank, carrying out copy detection on a result, and displaying a final result. The method can be used for the detection and the filtration on harmful, violent and reactionary texts in the internet, inhibits the spreading of the harmful content, and protects physical and psychological health of youngsters.

The invention relates to an electronic homework copying detection method, which comprises the following steps of: first performing document type adaptation and document content extraction on homework to be processed; then performing Chinese word segmentation and speech tagging on a processed plain text file, and calculating similarity between the homework according to the word frequency of high frequency words and the semantic similarity of content words; and finally fusing the similarity between the homework and the semantic similarity of the content words, and judging whether two documents are copied or not according to a threshold value. The method is characterized in that: copying detection on the electronic homework is realized by utilizing the word frequency of the high frequency words 'De', 'Yi', 'Shi', 'Le' and 'Wo' and the semantic similarity of the content words. By the method, the problems of the copying detection on batch homework in an E-learning system and detection on the homework copying ways of synonymous substitution, statement regulation and the like of students are solved; and the method can be used for performing the copying detection on the homework of various document types in a computer-aided teaching system.

A method and system for printing an original image which is protected against copying or alteration, such as a postal indicium, and for determining if that image has been altered. The image includes a copy detection feature and coded information linked to the copy detection feature. Altered images are detected by testing to determine if the link between the copy detection feature and the coded information if fact exists. The copy detection feature and the coded information can be linked by: 1) generating said copy detection feature as a pseudorandom function of said coded information; identifying a type of printer corresponding to said printer; and incorporating information identifying said type of printer into said image; or 2) creating a robust descriptor of said copy detection feature; and incorporating said descriptor into said coded information; or 3) creating a robust descriptor of said copy detection feature; and incorporating said descriptor into said coded information, and modifying said copy detection feature as a pseudorandom function of said coded information; or 4) generating said copy detection feature as a pseudorandom function of said coded information; creating a robust descriptor of said copy detection feature; and incorporating said descriptor into said coded information.

The invention discloses an identification method of a harmful content of a video. The method includes steps of S1, performing video approximate copying detection on the video information; S2, identifying the harmful video text through a harmful video text identifying technology; S3, when the harmful information is not found from the video or image to be detected through above two steps, intelligently analyzing the harmful content of the video and re-identifying the content by the detecting algorithm of depth study goal. Through the method of combining the depth study, an SIFT feature pick-up algorithm and an OCR optical character identifying technology, the content to be detected in the video and the image can be rapidly identified, the purpose of identifying multi-dimensional harmful content of the video or image information can be achieved.

An electronic book reader has a processor, a display surface, and access to a memory card upon which is stored a digitally-formatted creative work such as a book. In addition, the reader has access to a plurality of precompiled condensed content descriptions of respective books that are subject to copy restrictions. Before reading a given book, the reader creates a condensed content description of the book and compares it to the stored descriptions to determine whether the book is subject to copy restrictions. If it is, the reader checks for a valid license before allowing the user to read the book.

An image processing apparatus acquires image information and collateral information. The collateral information includes illegitimate-copy-detection information that indicates whether the image information is an illegitimate copy. When the illegitimate-copy-detection information indicates that the image information is an illegitimate copy, the image processing apparatus outputs the image information in an unreadable form.

The invention discloses a fingerprint feature-based text copy detection system and method. The system comprises a text pretreatment module, a word coding module, a dictionary sorting module, hashed value mapping module, a fingerprint extraction module and a similarity calculation module, wherein the text pretreatment module is used for carrying out format conversion on a text, filtering noise in the text, normalizing words and removing the interferences of capital and small English letters; the word coding module is used for coding the words of the text after the pretreatment according to native characteristics of the words; the dictionary sorting module is used for carrying out sorting according to a dictionary manner by taking sentence as a unit, and removing punctuations in the text; the hashed value mapping module is used for carrying out hashed value calculation by utilizing a rolling hash function so as to obtain a hashed value sequence; the fingerprint extraction module is used for selecting a triggering condition on the basis of text content, carrying out blocking according to the triggering condition, calculating hash values of text blocks by utilizing a hash function, selecting a plurality of bits, at specific positions, of the hash values to be converted into ASCII codes and taking the ASCII codes as fingerprint features; the similarity calculation module is used for comparing the similarity of text fingerprints and calculating the similarity level of the text fingerprints by utilizing a similarity algorithm.

An engine identifying segments or portions of one source material or source file common to or found in another source material or file. The engine may receive a first data stream in binary form as well as a second stream in binary form. The engine may include a data stream processor or pre-processor programed to translate the first and second data streams to generate respective first and second processed data streams. The commonality between the first and second processed data streams may be greater than the commonality between the first and second data streams themselves. Also, a comparator may be programmed to compare the first and second process data streams and identify binary segments found in both the first and second processed data streams.

The invention discloses an image characteristic extraction method, a device thereof, an image copy detection method and a system thereof. The image characteristic extraction method includes the following steps of: zooming an extracted image to a K-dimensional gray matrix; for each point position in the matrix, combined with position and a gray value of other pixels, calculating a characteristic value, and forming two K-dimensional image characteristic matrices; and respectively selecting two points with maximum values in the two characteristic matrices as characteristic points, forming three line segments representing image characteristics with the above four characteristic points, and obtaining characteristics of the extracted image. Since when extracting the image characteristics, it is independent of color information of the image and is not related with an image size, and there is no extra overhead when carrying out characteristic extraction on a large size color image; the characteristic line segments are employed in an image characteristic extraction process, as long as image structure is not significantly changed, the image characteristic line segments are relatively stable, high detection precision is provided, and functions of detecting an attack type and analyzing attack intensity are provided.

The invention discloses a high copying control system for a harvesting table of a maize harvesting machine. The system is composed of a copying detection device, a harvesting table lifting hydraulic cylinder, a touch screen, a controller, an electro-hydraulic proportional valve, a mechanical contact type guiding mechanism, a steering hydraulic cylinder, a steering detection sensor and the like. One end of the copying detection device is installed on a protecting tip at the front end of the harvesting table, the other end of the copying detection device is connected with the harvesting table through a chain, and during work, a copying rod makes contact with the ground through dead weight. The copying rod of the copying detection device and an angular displacement sensor rotary shaft rotate synchronously. When the high copying control system for the harvesting table of the maize harvesting machine carries out high copying work, the copying rod rotates around a base shaft hole along with surface relief, an angular displacement sensor feeds changed angle values back to the controller, the controller controls and adjusts actions of the electro-hydraulic proportional valve and the harvesting table lifting hydraulic cylinder, lifting of the harvesting table is achieved, and high copying actions are completed.

The invention discloses a video fingerprint method based on a contourlet transformation model, which is characterized by comprising the following steps of: standardizing a piece of video and segmenting each image; transforming each image block through a multi-scale and multi-directional contourlet, and using a hidden Markov tree technology to extract model parameters; decomposing singular values of a standard variance matrix of each block, extracting the maximum singular value, and cascading and normalizing the singular value to construct a video fingerprint vector; using a two-step search strategy in the fingerprint matching stage; and randomly selecting the fingerprint of each frame in the video to be checked, rapidly determining candidate video, and then measuring the similarity of the video to be tested and the candidate video according to the Euclidean distance. The stability, identification efficiency and search efficiency of video fingerprints can be improved, and the method can be widely applied in copy detection, retrieval, identification and copyright protection of video files.

The invention belongs to the technical field of copy detection and particularly relates to a text characteristic extracting method and a document copy detection system based on sentence level. The invention provides the text characteristic extracting method based on the sentence level, and the method comprises the following steps: selecting a certain quantity of common vocabularies with the lowest reverse document frequency as antecedents, extracting improved Shingle characteristics to express the whole sentence. The invention also provides a document copy detection system based on the sentence level, and the system comprises a document reading subsystem, a segmenting subsystem, a characteristic extracting subsystem, a copy detection subsystem and a sequence matching subsystem, can accurately find out a document pair including part of copies in a document set at high speed, and positions the mutual copying range.