Xerox Corporation

Julianna Elizabeth Lin

Aaron Michael Burry

Peter Paul

Luca Marchesotti

William C Dean

William Lee Kennedy

A system and method for searching a finite collection of images using at least one semantic network. Upon receipt of a query from a user that includes a theme and one or more initial keywords, a set of keywords based on the theme and including the initial keywords is generated from one or more semantic networks corresponding to the theme and/or initial keywords. When the finite collection of images includes suitable metadata, a result set is generated of images corresponding to the expanded set of keywords. When the finite collection includes images lacking in metadata, a remote third-party image collection is searched with the set of keywords to obtain a result set that is used to train visual classifiers as to visual concepts associated with the keywords. The classifiers are used to classify the images in the finite collection lacking metadata and the search of the finite collection is performed with the set of keywords to generate a result set.

Image search system and method for personalized photo applications using semantic networks

A system of measuring the bare belt signature of a surface that does not require the use of extra print jobs, or extra belt cycles, during the printing of the actual print job. Instead, the inter-document zone and other 'toner-free' areas within the test job itself are used to extract an estimate of the bare belt signature. More specifically, prior knowledge of the job content and of the location of the area between image pitches is used to identify areas of the belt that should be toner-free. These areas are then treated as 'bare belt' segments, and the sensor signal for these areas are extracted, aligned according to their spatial location along the belt, and then averaged to produce a final estimate of the bare belt signature.

Method for measurement of reflectance profiles of image surfaces

Aspects of the disclosure can provide a method of detecting a density of a pigmented layer on an object. The method can include emitting a first modulated light onto a first portion of the object having the pigmented layer, detecting a first reflected light of the first modulated light from the first portion of the object, and determining the density of the pigmented layer according to the first reflected light. Furthermore, the method can include emitting a second modulated light onto a second portion of the object, detecting a second reflected light of the second modulated light from the second portion of the object, and determining the density of the pigmented layer according to a relative ratio that is related to the first reflected light and the second reflected light.

Method and apparatus for robust detection of the density of a pigmented layer

An image printing system includes a print engine and a sensing system. The print engine is configured to print a marking material image on a image bearing surface. The sensing system includes a plurality of illuminators, a modulator, a sensor, and a demodulator. Each illuminator is configured to simultaneously emit a light beam at the marking material image on the image bearing surface, thereby producing reflectance from the marking material image at least in a first direction. The modulator is configured to modulate an intensity characteristic of each of the light beams emitted by the illuminators such that each light beam has a different modulated waveform characteristic, where the waveform characteristic includes at least frequency. The sensor is configured to detect the reflectance from the plurality of light beams in the first direction and output a reflectance signal. The demodulator is configured to demodulate the reflectance signal to isolate a response of the marking material image to each of the individual illuminators.

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Campbell, CA, United States of America

Julianna Elizabeth Lin