A content-based image retrieval (CBIR) system and method is presented herein. The CBIR system generates a relatively short vector or array of data, referred to as a barcode, from an input image. The short vector or array data can be used to represent the content of the image for image retrieval purposes. The system obtains the image and applies a transform to the image to generate a plurality of image transform values. The system thresholds the plurality of image transform values to obtain compact image transform values. The system generates a barcode in accordance with the compact image transform values and representative of the image. The system may then transmit the barcode to a database for storage or draw the barcode on a display. The system may also compare barcodes to find and retrieve similar images associated with similar barcodes.

Implementations of the present application provide a QR code positioning method and apparatus. Based on a predetermined pixel detection rule, centers of candidate position detection patterns in the QR code image are determined from a QR code image that includes first-type pixels and second-type pixels. The predetermined pixel detection rule includes that a consecutive arrangement ratio of the first-type pixels, the second-type pixels, and the first-type pixels satisfies a predetermined ratio. The candidate position detection patterns are identified based on the centers of the candidate position detection patterns. A set of patterns that satisfies a QR code image positioning rule are determined from the candidate position detection patterns. The set of patterns are used as position detection patterns of the QR code image.

A file decompression method to increase speed of display applied in a foldable electronic device includes receiving an image file, compressed into a much smaller form, from a peripheral device, and displaying the received file at least on the second display area, and transmitting a first control signal to an image sensor. The first control signal controls the image sensor to scan the image file on the second display area to identify image and compression data therein and information as to such data is obtained from the image sensor. If the data permits decompression and decompression is performed, the image is displayed as a match of the original uncompressed file.

The techniques described herein relate to methods, apparatus, and computer readable media configured to decode a symbol in a digital image. A digital image of a portion of a symbol is received, which includes a grid of pixels and the symbol includes a grid of modules. A spatial mapping is determined between a contiguous subset of modules in the grid of modules to the grid of pixels. Causal relationships are determined, using the spatial mapping, between each module and the grid of pixels. A set of valid combinations of values of neighboring modules in the contiguous subset of modules are tested against the grid of pixels using the causal relationships. A value of at least one module of the two or more neighboring modules is determined based on the tested set of valid combinations. The symbol is decoded based on the determined value of the at least one module.

Techniques are provided for detecting an improper barcode using a neural network trained to identify an object from physical features appearing in images of object, and without resorting to using a barcode or other indicia to identify the object. The neural network is self-training, updating itself with selected images obtained at a Point-of-Sale. That is, the neural network is capable of training itself while performing improper barcode detection operations, such as spoofing detection.

There is provided a book arrangement and a method of use thereof. The book arrangement includes a printed book for providing primary content, one or more mobile communication devices, and a remote database arrangement couplable via data communication network to one or more mobile communication devices. Moreover, the one or more mobile communication devices each include data processing hardware and data memory therein. Furthermore, the book arrangement includes a sensor arrangement for detecting a given page of the printed book being viewed or read by a user and generating corresponding sensed data. The data processing hardware and the data memory of the one or more mobile communication devices is configured to process sensed data to determine the given page, and to fetch corresponding supplementary content from the data memory and/or the remote database arrangement for presenting to the user on a graphical user interface of the one or more mobile communication devices.

A system for managing a list of products in an inventory includes a plurality of addressable LEDs, each for positioning adjacent a product storing position that includes an identification code; at least one code reader; and at least one controller coupled to both the plurality of addressable LEDs and the at least one code reader for i) receiving from the code reader a command indicative of the list of products; and ii) as a result of the command, controlling the addressable LEDs so as to energize LEDs therefrom corresponding to the list of products. A method for managing the list of products further includes verifying an identity of each product from the list by reading and comparing the identification code thereof to the identification code associated to the corresponding addressable LED.

Evaluating a symbol on an object can include acquiring a first image of the object, including the symbol. A second image can be derived from the first image based upon determining a saturation threshold for the second image and possibly scaling of pixel values to a reduced bit-depth for the second image.

A method for detecting a two-dimensional barcode is provided. Binarization processing is performed on an image to obtain a binary image. Whether the binary image has a target pattern is determined, and it is determined that the binary image has a two-dimensional barcode in response to determining that the binary image has the target pattern. An enlarged image of the two-dimensional barcode is obtained, and two-dimensional barcode detection is performed on the enlarged image of the two-dimensional barcode.

Software on an image-capturing device iteratively captures a visual code in a series of visual codes displayed in a repeating progression on a screen of a mobile device. The visual code was generated from a display block that resulted from a partition of an original data file into a series of display blocks of at least a specified size. The software converts the visual code back into a display block and reads a header for the display block, discarding the display block if it has already been captured, as determined by the ordered identifying block number in a header. The software stops the iterative capturing when all of the display blocks in the series have been captured, as determined by the count in the header and coalesces the captured display blocks into the original data file, using an order determined by the ordered identifying block numbers.