Abstract: Using the techniques discussed herein, a set of images is captured by one or more array imagers (106). Each array imager includes multiple imagers configured in various manners. Each array imager captures multiple images of substantially a same scene at substantially a same time. The images captured by each array image are encoded by multiple processors (112, 114). Each processor can encode sets of images captured by a different array imager, or each processor can encode different sets of images captured by the same array imager. The encoding of the images is performed using various image-compression techniques so that the information that results from the encoding is smaller, in terms of storage size, than the uncompressed images.

Abstract: Using the techniques discussed herein, a set of images is captured by one or more array imagers (106). Each array imager includes multiple imagers configured in various manners. Each array imager captures multiple images of substantially a same scene at substantially a same time. The images captured by each array image are encoded by multiple processors (112, 114). Each processor can encode sets of images captured by a different array imager, or each processor can encode different sets of images captured by the same array imager. The encoding of the images is performed using various image-compression techniques so that the information that results from the encoding is smaller, in terms of storage size, than the uncompressed images.

Abstract: Using the techniques discussed herein, a set of images is captured by one or more array imagers (106). Each array imager includes multiple imagers configured in various manners. Each array imager captures multiple images of substantially a same scene at substantially a same time. The images captured by each array image are encoded by multiple processors (112, 114). Each processor can encode sets of images captured by a different array imager, or each processor can encode different sets of images captured by the same array imager. The encoding of the images is performed using various image-compression techniques so that the information that results from the encoding is smaller, in terms of storage size, than the uncompressed images.

Abstract: Using the techniques discussed herein, a set of images is captured by one or more array imagers (106). Each array imager includes multiple imagers configured in various manners. Each array imager captures multiple images of substantially a same scene at substantially a same time. The images captured by each array image are encoded by multiple processors (112, 114). Each processor can encode sets of images captured by a different array imager, or each processor can encode different sets of images captured by the same array imager. The encoding of the images is performed using various image-compression techniques so that the information that results from the encoding is smaller, in terms of storage size, than the uncompressed images.

Abstract: Using the techniques discussed herein, a set of images is captured by one or more array imagers (106). Each array imager includes multiple imagers configured in various manners. Each array imager captures multiple images of substantially a same scene at substantially a same time. The images captured by each array image are encoded by multiple processors (112, 114). Each processor can encode sets of images captured by a different array imager, or each processor can encode different sets of images captured by the same array imager. The encoding of the images is performed using various image-compression techniques so that the information that results from the encoding is smaller, in terms of storage size, than the uncompressed images.

Abstract: Using the techniques discussed herein, a set of images is captured by one or more array imagers (106). Each array imager includes multiple imagers configured in various manners. Each array imager captures multiple images of substantially a same scene at substantially a same time. The images captured by each array image are encoded by multiple processors (112, 114). Each processor can encode sets of images captured by a different array imager, or each processor can encode different sets of images captured by the same array imager. The encoding of the images is performed using various image-compression techniques so that the information that results from the encoding is smaller, in terms of storage size, than the uncompressed images.

Abstract: Disclosed are techniques for sizing wearable items by device scanning. A shopper scans a wearable item with a sensor assembly of a mobile computing device, such as a mobile phone. A wearable-item mapping is generated based on the scan of the wearable item. Similarly, a body part of the shopper is scanned with the sensor assembly to generate a body-part mapping based on the scan of the body part. The wearable-item mapping is then be compared to the body-part mapping, and a fit result determined based on the comparison. The fit result indicates for the shopper whether or not the wearable item is compatible with an associated body part and likely to fit the person. The fit result is presented at the mobile computing device, such as via an audio feedback or a visual feedback.

Abstract: Using the techniques discussed herein, a set of images is captured by one or more array imagers (106). Each array imager includes multiple imagers configured in various manners. Each array imager captures multiple images of substantially a same scene at substantially a same time. The images captured by each array image are encoded by multiple processors (112, 114). Each processor can encode sets of images captured by a different array imager, or each processor can encode different sets of images captured by the same array imager. The encoding of the images is performed using various image-compression techniques so that the information that results from the encoding is smaller, in terms of storage size, than the uncompressed images.

Abstract: Using the techniques discussed herein, a set of images is captured by one or more array imagers (106). Each array imager includes multiple imagers configured in various manners. Each array imager captures multiple images of substantially a same scene at substantially a same time. The images captured by each array image are encoded by multiple processors (112, 114). Each processor can encode sets of images captured by a different array imager, or each processor can encode different sets of images captured by the same array imager. The encoding of the images is performed using various image-compression techniques so that the information that results from the encoding is smaller, in terms of storage size, than the uncompressed images.

Abstract: This document describes techniques and apparatuses for implementing multi-spectral compression. These techniques enable a computing device to capture a set of images at different spectral sensitivities using a multi-spectral array imager. Once the set of images are captured by the multi-spectral array imager, the set may be encoded using encoding techniques that involve spectral prediction in addition to spatial and temporal prediction.

Abstract: Using the techniques discussed herein, a set of images is captured by one or more array imagers (106). Each array imager includes multiple imagers configured in various manners. Each array imager captures multiple images of substantially a same scene at substantially a same time. The images captured by each array image are encoded by multiple processors (112, 114). Each processor can encode sets of images captured by a different array imager, or each processor can encode different sets of images captured by the same array imager. The encoding of the images is performed using various image-compression techniques so that the information that results from the encoding is smaller, in terms of storage size, than the uncompressed images.

Abstract: Using the techniques discussed herein, a set of images is captured by one or more array imagers (106). Each array imager includes multiple imagers configured in various manners. Each array imager captures multiple images of substantially a same scene at substantially a same time. The images captured by each array image are encoded by multiple processors (112, 114). Each processor can encode sets of images captured by a different array imager, or each processor can encode different sets of images captured by the same array imager. The encoding of the images is performed using various image-compression techniques so that the information that results from the encoding is smaller, in terms of storage size, than the uncompressed images.

Abstract: Using the techniques discussed herein, a set of images is captured by one or more array imagers (106). Each array imager includes multiple imagers configured in various manners. Each array imager captures multiple images of substantially a same scene at substantially a same time. The images captured by each array image are encoded by multiple processors (112, 114). Each processor can encode sets of images captured by a different array imager, or each processor can encode different sets of images captured by the same array imager. The encoding of the images is performed using various image-compression techniques so that the information that results from the encoding is smaller, in terms of storage size, than the uncompressed images.

Abstract: This document describes techniques and apparatuses for implementing multi-spectral compression. These techniques enable a computing device to capture a set of images at different spectral sensitivities using a multi-spectral array imager. Once the set of images are captured by the multi-spectral array imager, the set may be encoded using encoding techniques that involve spectral prediction in addition to spatial and temporal prediction.

Abstract: A texting-while-driving-discouragement system (108) operates to discourage users from text messaging while driving. The system determines (306) whether a user is driving a vehicle, determines (308) whether the vehicle is moving at a speed that satisfies a threshold speed, and determines (310) whether the user is text messaging. In response to determining that the user is driving the vehicle, the vehicle is moving at a speed that satisfies the threshold speed, and the user is text messaging, a remedial action is taken (312). Various remedial actions can be taken such as imposing a fee on the user (e.g., a fee that the user has optionally previously agreed to pay if he is text messaging while driving), disabling text messaging for the device, providing the user with the option to hear received text messages audibly or input verbally text messages to be sent, and so forth.

Abstract: Disclosed are techniques for sizing wearable items by device scanning. A shopper scans a wearable item with a sensor assembly of a mobile computing device, such as a mobile phone. A wearable-item mapping is generated based on the scan of the wearable item. Similarly, a body part of the shopper is scanned with the sensor assembly to generate a body-part mapping based on the scan of the body part. The wearable-item mapping is then be compared to the body-part mapping, and a fit result determined based on the comparison. The fit result indicates for the shopper whether or not the wearable item is compatible with an associated body part and likely to fit the person. The fit result is presented at the mobile computing device, such as via an audio feedback or a visual feedback.