Embodiments described herein include systems and methods for automatically creating compilation videos from an original video based on metadata associated with the original video. For example, a method for creating a compilation video may include determining a relevance score for video frames in an original video; selecting a plurality of relevant video frames from the original video based on the relevance score; selecting a plurality of video clips from the original video based on the relevance scores of the video frames; and creating a compilation video from the plurality of video clips. Each of the plurality of video clips, for example, may include at least one relevant video frame from the plurality of relevant video frames.

An image processing device that acquires an image from an object includes an illuminator having a plurality of light sources, a sensor unit, and a controller. The plurality of light sources irradiates light of respectively different colors onto an object. The sensor unit outputs luminance data for one line obtained by photoelectrically converting light is reflected from the object of that was irradiated by the illuminator onto the object. The controller acquires a random number, and acquires luminance data for one line output by the sensor unit, while causing one light source selected from the plurality of light sources based on the acquired random number to emit light.

An image forming apparatus, including: a light source; a photosensitive member rotatable in a first direction; a deflecting unit configured to deflect the light beam in a second direction orthogonal to the first direction; a conversion unit configured to convert image data into a plurality of bit data corresponding to a density on a pixel-by-pixel basis; a specifying unit configured to specify a pixel size that is a number of divided pixels forming a pixel according to a position of the pixel in the second direction; and a correction unit configured to correct the plurality of bit data according to the pixel size, wherein the specifying unit specifies pixel sizes of pixels after an arrangement of the pixels in the second direction is replaced for each pixel group, the pixel group being obtained by dividing, with respect to each predetermined number of pixels, pixels arranged in the second direction.

An image processing apparatus includes a controller configured to perform: acquiring objective image data, the objective image data being generated by optically reading a manuscript and representing an objective image including a character image indicating a character; determining whether any condition, among conditions including first and second conditions, is satisfied; if the first condition is satisfied, transmitting, to a predetermined communication apparatus, first image data based on the objective image data, the first image data representing the objective image, receiving first processed data from the predetermined communication apparatus; and if the second condition is satisfied, executing, for the objective image data, a predetermined compression processing for reducing size of data representing the character image in the objective image data so as to generate second image data; transmitting the second image data to the predetermined communication apparatus; and receiving second processed data from the predetermined communication apparatus.

Signal detection and recognition employees coordinated illumination and capture of images under to facilitate extraction of a signal of interest. Pulsed illumination of different colors facilitates extraction of signals from color channels, as well as improved signal to noise ratio by combining signals of different color channels. The successive pulsing of different color illumination appears white to the user, yet facilitates signal detection, even for lower cost monochrome sensors, as in barcode scanning and other automatic identification equipment.

Systems, methods, and computer program products for smart, automated capture of textual information using optical sensors of a mobile device are disclosed. The capture and provision is context-aware, and determines context of the optical input, and invokes a contextually-appropriate workflow based thereon. The techniques also provide capability to normalize, correct, and/or validate the captured optical input and provide the corrected, normalized, validated, etc. information to the contextually-appropriate workflow. Other information necessary by the workflow and available to the mobile device optical sensors may also be captured and provided, in a single automatic process. As a result, the overall process of capturing information from optical input using a mobile device, invoking an appropriate workflow, and providing captured information to the workflow is significantly simplified and improved in terms of accuracy of data transfer/entry, speed and efficiency of workflows, and user experience.

Systems, methods, and computer program products for smart, automated capture of textual information using optical sensors of a mobile device are disclosed. The capture and provision is context-aware, and determines context of the optical input, and invokes a contextually-appropriate workflow based thereon. The techniques also provide capability to normalize, correct, and/or validate the captured optical input and provide the corrected, normalized, validated, etc. information to the contextually-appropriate workflow. Other information necessary by the workflow and available to the mobile device optical sensors may also be captured and provided, in a single automatic process. As a result, the overall process of capturing information from optical input using a mobile device, invoking an appropriate workflow, and providing captured information to the workflow is significantly simplified and improved in terms of accuracy of data transfer/entry, speed and efficiency of workflows, and user experience.

An information processing apparatus includes a resolution converting unit that converts the resolution of input image data into a low resolution by using a “reference shift” method; a dot processing unit that deletes a dot area that occurs on an edge portion of an object in image data that is obtained by the resolution converting unit; and a format converting unit that converts image data, from which the dot is deleted by the dot processing unit, into the format of an output processing unit that prints the input image data with a low resolution.

An application of clear protectant to a printable medium is described that allows for different amounts of protectant to be applied to the medium based on the amounts of colorant that is applied to the medium. Colorant bitmaps are analyzed to calculate an amount of colorant coverage for a medium. Printable features in the colorant bitmaps are replicated into different intermediate protectant bitmaps based on the colorant coverage for the printable features, where the intermediate protectant bitmaps specify different amounts of protectant to apply. Features in the intermediate bitmaps are expanded and replicated into a final protectant bitmap. A determination is made for the amount of protectant to apply to the medium that is based on the different amounts specified by the intermediate bitmaps.

An application of clear protectant to a printable medium is described that allows for different amounts of protectant to be applied to the medium based on the amounts of colorant that is applied to the medium. Colorant bitmaps are analyzed to calculate an amount of colorant coverage for a medium. Printable features in the colorant bitmaps are replicated into different intermediate protectant bitmaps based on the colorant coverage for the printable features, where the intermediate protectant bitmaps specify different amounts of protectant to apply. Features in the intermediate bitmaps are expanded and replicated into a final protectant bitmap. A determination is made for the amount of protectant to apply to the medium that is based on the different amounts specified by the intermediate bitmaps.