A surgical microscope includes an image capture unit having an image sensor, a detection beam path, an image evaluation unit, a connection region for attaching a protective glass module with an objective protective glass. The image sensor has a detection region which has a used detection region for capturing the object region, and a partial detection region, which is not assigned to the used detection region. The image capture unit is configured such that, when the protective glass module with the objective protective glass is arranged at the connection region, a detail of the protective glass module with the objective protective glass is capturable by the partial detection region of the image sensor. The image evaluation unit is configured to generate a signal when an objective protective glass is detectable by the evaluation of the image data of the partial detection region of the image sensor.

Apparatus and methods for detecting and utilizing saliency in digital images. In one implementation, salient objects may be detected based on analysis of pixel characteristics. Least frequently occurring pixel values may be deemed as salient. Pixel values in an image may be compared to a reference. Color distance may be determined based on a difference between reference color and pixel color. Individual image channels may be scaled when determining saliency in a multi-channel image. Areas of high saliency may be analyzed to determine object position, shape, and/or color. Multiple saliency maps may be additively or multiplicative combined in order to improve detection performance (e.g., reduce number of false positives). Methodologies described herein may enable robust tracking of objects utilizing fewer determination resources. Efficient implementation of the methods described below may allow them to be used for example on board a robot (or autonomous vehicle) or a mobile determining platform.

Various arrangements for recording multiple television channels are presented. A plurality of sets of television channels may be identified. An interface may be output for presentation, the interface presenting indications of each of the plurality of sets of television channels and a plurality of input elements associated with the plurality of sets of television channels. User input may be received via one or more of the plurality of input elements indicative of one or more sets of television channels of the plurality of sets of television channels to be recorded. Dates and times at which the one or more sets of television channels are to be recorded may be determined. The one or more sets of television channels may be recorded at the determined dates and the determined times.

Various arrangements for recording multiple television channels are presented. A plurality of sets of television channels may be identified. An interface may be output for presentation, the interface presenting indications of each of the plurality of sets of television channels and a plurality of input elements associated with the plurality of sets of television channels. User input may be received via one or more of the plurality of input elements indicative of one or more sets of television channels of the plurality of sets of television channels to be recorded. Dates and times at which the one or more sets of television channels are to be recorded may be determined. The one or more sets of television channels may be recorded at the determined dates and the determined times.

Apparatuses, systems, and techniques to receive, at one or more processors associated with an image signal processing (ISP) pipeline for a camera, an image generated using an image sensor of the camera, wherein the image comprises a plurality of channels associated with color information of the image; process, by the one or more processors, the plurality of channels of the image to generate a plurality of luminance and/or radiance values; generate, by the one or more processors, an updated version of the image using the plurality of luminance and/or radiance values; and output the updated version of the image.

The disclosure includes a system and method for distinguishing objects of similar appearance that vary in color. An image recognition application receives a query image of a plurality of objects, determines a candidate list of indexed images that match an object in the query image based on luminance features, crops an image of the object from the query image to generate a cropped image, computes color features for the object, ranks the candidate list of indexed images based on the color features, and provides the candidate list of indexed images to a user.

Arrangements detailed may cause a television channel received via the tuner to be recorded for a period of time to create a channel-specific file. The channel-specific file may include multiple television programs. User input that requests playback of a first television program of the plurality of television programs from the channel-specific file may be received. A front-end adjustment time period for playback of the first television program may be determined. A start time from which playback commences in the channel-specific file may be at least partially based on the front-end adjustment time period and a scheduled start time of the television program.

Arrangements detailed may cause a television channel received via the tuner to be recorded for a period of time to create a channel-specific file. The channel-specific file may include multiple television programs. User input that requests playback of a first television program of the plurality of television programs from the channel-specific file may be received. A front-end adjustment time period for playback of the first television program may be determined. A start time from which playback commences in the channel-specific file may be at least partially based on the front-end adjustment time period and a scheduled start time of the television program.

The disclosure includes a system and method for distinguishing objects of similar appearance that vary in color. An image recognition application receives a query image of a plurality of objects, determines a candidate list of indexed images that match an object in the query image based on luminance features, crops an image of the object from the query image to generate a cropped image, computes color features for the object, ranks the candidate list of indexed images based on the color features, and provides the candidate list of indexed images to a user.

A solid-state imaging apparatus includes an imaging unit that images a subject to generate a plurality of pieces of image data having information corresponding to different types of color components at same pixel positions, an operation mode setting unit that sets an operation mode of the imaging unit, a thinning rate setting unit that sets a thinning rate relative to each of the plurality of pieces of image data of the different types of color components in accordance with the operation mode, a thinning processor that performs thinning processing relative to each of the plurality of pieces of image data of the different types of color components generated by the imaging unit in accordance with the thinning rate, and a transmission unit that transmits the plurality of pieces of image data of different types of color components subjected to the thinning processing.