Abstract: Example methods, apparatuses, and/or articles of manufacture related to wild game calling are disclosed that may be implemented, in whole or in part, using a game calling device. In a particular implementation, a game calling device may closely imitate the call of an elk while air is passed over a reed to make a game call sound.

Abstract: Example methods, apparatuses, and/or articles of manufacture related to wild game calling are disclosed that may be implemented, in whole or in part, using a game calling device. In a particular implementation, a game calling device may closely imitate the call of an elk while air is passed over a reed to make a game call sound.

Abstract: A video augmentation apparatus is shown. The apparatus may comprise at least a processor and a memory. The processor may be configured to receive a plurality of videos, Additionally, the processor may generate a segment datum as a function of the plurality of videos. The segment datum may be classified to an augmentation datum. The classification may include training an augmentation classifier using a segment training data wherein the segment training data contains a plurality of data entries correlating required segment datum as an input to the augmentation datum as outputs. The classification may further include generating an augmentation classification datum, wherein augmentation classification datum is generated by classifying the segment datum to the augmentation datum using the augmentation classifier. The processor then may generate an augmented video as a function of the augmentation classification datum and display the augmented video using a user display device.

Abstract: A video augmentation apparatus is shown. The apparatus may comprise at least a processor and a memory. The processor may be configured to receive a plurality of videos, Additionally, the processor may generate a segment datum as a function of the plurality of videos. The segment datum may be classified to an augmentation datum. The classification may include training an augmentation classifier using a segment training data wherein the segment training data contains a plurality of data entries correlating required segment datum as an input to the augmentation datum as outputs. The classification may further include generating an augmentation classification datum, wherein augmentation classification datum is generated by classifying the segment datum to the augmentation datum using the augmentation classifier. The processor then may generate an augmented video as a function of the augmentation classification datum and display the augmented video using a user display device.

Abstract: A unique computer implemented logistics data management tool/technique for secure resident operation on a mobile computerized device—and associated system and computer-readable storage medium having stored thereon, executable program code and instructions—encompassing certain cornerstone modules: product generation module; data update module; and secure services module. Features of the three modules interoperate for secure downloading to the mobile computerized device for resident operation thereon whether in any of the following categories of wireless communication: Connected, Disconnected, and Occasionally Connected.