Abstract: An example device may include one or more processors, a display, and a memory. The memory may include instructions that, when executed by the one or more processors, cause the device to receive a preview stream of a scene from a camera, present the preview stream on the display, enlarge a first region of interest (ROI) of the scene presented on the display, receive directional input from a user indicating a second ROI of the scene, wherein at least a portion of the second ROI is not currently presented on the display with the enlarged first ROI, transition from the enlarged first ROI to an enlarged portion of the second ROI based on the received directional input without adjusting a zoom level of the camera, and present the enlarged portion of the second ROI on the display.

Abstract: An example device may include one or more processors, a display, and a memory. The memory may include instructions that, when executed by the one or more processors, cause the device to receive a preview stream of a scene from a camera, present the preview stream on the display, enlarge a first region of interest (ROI) of the scene presented on the display, receive directional input from a user indicating a second ROI of the scene, wherein at least a portion of the second ROI is not currently presented on the display with the enlarged first ROI, transition from the enlarged first ROI to an enlarged portion of the second ROI based on the received directional input without adjusting a zoom level of the camera, and present the enlarged portion of the second ROI on the display.

Abstract: The largest absolute value (LAV) is determined within a group of data. Based on the LAV, a difference table is identified that is to be used for selecting an optimal Huffman codebook for the group of data. The difference table is associated with two Huffman codebooks. Further, one or more indexes are calculated for the group of data using an expression associated with the two Huffman codebooks, and a size difference value is determined for the group of data using the calculated indexes and the difference table. Based on the determined size difference value, the optimal Huffman codebook is selected from the above two codebooks.

Abstract: The largest absolute value (LAV) is determined within a group of data. Based on the LAV, a difference table is identified that is to be used for selecting an optimal Huffman codebook for the group of data. The difference table is associated with two Huffman codebooks. Further, one or more indexes are calculated for the group of data using an expression associated with the two Huffman codebooks, and a size difference value is determined for the group of data using the calculated indexes and the difference table. Based on the determined size difference value, the optimal Huffman codebook is selected from the above two codebooks.