Abstract: Medication management is facilitated at least by accessing at least a portion of data, the data may identify medication sets to be taken by a user according to a schedule including time periods. Each of the plurality of medication sets may be associated in the data with identification codes and at least one of the time periods. A medication message may be output identifying a particular medication set of the medication sets to be taken at a particular time period of the time periods. An input identification code may be received, and it may be determined whether the input identification code corresponds to the particular medication set. A warning message may be output in response to it being determined that the input identification code does not correspond to the particular medication set.

Abstract: Medication management is facilitated at least by accessing at least a portion of data, the data may identify medication sets to be taken by a user according to a schedule including time periods. Each of the plurality of medication sets may be associated in the data with identification codes and at least one of the time periods. A medication message may be output identifying a particular medication set of the medication sets to be taken at a particular time period of the time periods. An input identification code may be received, and it may be determined whether the input identification code corresponds to the particular medication set. A warning message may be output in response to it being determined that the input identification code does not correspond to the particular medication set.

Abstract: Medication management is facilitated at least by accessing at least a portion of data, the data may identify medication sets to be taken by a user according to a schedule including time periods. Each of the plurality of medication sets may be associated in the data with identification codes and at least one of the time periods. A medication message may be output identifying a particular medication set of the medication sets to be taken at a particular time period of the time periods. An input identification code may be received, and it may be determined whether the input identification code corresponds to the particular medication set. A warning message may be output in response to it being determined that the input identification code does not correspond to the particular medication set.

Abstract: Medication management is facilitated at least by accessing at least a portion of data, the data may identify medication sets to be taken by a user according to a schedule including time periods. Each of the plurality of medication sets may be associated in the data with identification codes and at least one of the time periods. A medication message may be output identifying a particular medication set of the medication sets to be taken at a particular time period of the time periods. An input identification code may be received, and it may be determined whether the input identification code corresponds to the particular medication set. A warning message may be output in response to it being determined that the input identification code does not correspond to the particular medication set.

Abstract: A digital video camera system that provides a video summary using a method that includes: designating a reference image containing a particular person; capturing a video sequence of the scene using the image sensor, the video sequence including a time sequence of image frames; processing the captured video sequence using a video processing path to form a digital video file; during the capturing of the video sequence, analyzing the captured image frames using a person recognition algorithm to identify a subset of the image frames that contain the particular person; forming the video summary including fewer than all of the image frames in the captured video sequence, wherein the video summary includes at least part of the identified subset of image frames containing the particular person; storing the digital video file in the storage memory; and storing a representation of the video summary in the storage memory.

Abstract: A digital video camera system that provides a video summary using a method that includes: designating a reference image containing a particular person; capturing a video sequence of the scene using the image sensor, the video sequence including a time sequence of image frames; processing the captured video sequence using a video processing path to form a digital video file; during the capturing of the video sequence, analyzing the captured image frames using a person recognition algorithm to identify a subset of the image frames that contain the particular person; forming the video summary including fewer than all of the image frames in the captured video sequence, wherein the video summary includes at least part of the identified subset of image frames containing the particular person; storing the digital video file in the storage memory; and storing a representation of the video summary in the storage memory.

Abstract: A digital video camera system that provides a video summary using a method that includes: specifying reference data, wherein the reference data indicates a feature of interest; capturing a video sequence of the scene using the image sensor, the video sequence including a time sequence of image frames; processing the captured video sequence using a video processing path to form a digital video file; during the capturing of the video sequence, analyzing the captured image frames using a feature recognition algorithm to identify a subset of the image frames that contain the feature of interest; forming the video summary including fewer than all of the image frames in the captured video sequence, wherein the video summary includes at least part of the identified subset of image frames containing the feature of interest; storing the digital video file in the storage memory; and storing a representation of the video summary in the storage memory.

Abstract: A digital video camera system that provides a video summary using a method that includes: designating a reference image containing a particular person; capturing a video sequence of the scene using the image sensor, the video sequence including a time sequence of image frames; processing the captured video sequence using a video processing path to form a digital video file; during the capturing of the video sequence, analyzing the captured image frames using a person recognition algorithm to identify a subset of the image frames that contain the particular person; forming the video summary including fewer than all of the image frames in the captured video sequence, wherein the video summary includes at least part of the identified subset of image frames containing the particular person; storing the digital video file in the storage memory; and storing a representation of the video summary in the storage memory.

Abstract: A digital video camera system that provides a video summary using a method that includes: designating a reference image containing a particular person; capturing a video sequence of the scene using the image sensor, the video sequence including a time sequence of image frames; processing the captured video sequence using a video processing path to form a digital video file; during the capturing of the video sequence, analyzing the captured image frames using a person recognition algorithm to identify a subset of the image frames that contain the particular person; forming the video summary including fewer than all of the image frames in the captured video sequence, wherein the video summary includes at least part of the identified subset of image frames containing the particular person; storing the digital video file in the storage memory; and storing a representation of the video summary in the storage memory.

Abstract: A digital video camera system that provides a video summary using a method that includes: specifying reference data, wherein the reference data indicates a feature of interest; capturing a video sequence of the scene using the image sensor, the video sequence including a time sequence of image frames; processing the captured video sequence using a video processing path to form a digital video file; during the capturing of the video sequence, analyzing the captured image frames using a feature recognition algorithm to identify a subset of the image frames that contain the feature of interest; forming the video summary including fewer than all of the image frames in the captured video sequence, wherein the video summary includes at least part of the identified subset of image frames containing the feature of interest; storing the digital video file in the storage memory; and storing a representation of the video summary in the storage memory.

Abstract: In an image sequence stabilization method and a camera, a sequence of input digital images are captured. The sequence of input digital images is replicated to provide a corresponding sequence of archival images and a corresponding sequence of display images. The archival image sequence is automatically stabilized to provide a stabilized archival image sequence. The display image sequence is automatically stabilized to provide a stabilized display image sequence. The stabilization methods used for the two sequences are different, although both can be digital.

Abstract: In an image sequence stabilization method and a camera, a sequence of input digital images are captured. The sequence of input digital images is replicated to provide a corresponding sequence of archival images and a corresponding sequence of display images. The archival image sequence is automatically stabilized to provide a stabilized archival image sequence. The display image sequence is automatically stabilized to provide a stabilized display image sequence. The stabilization methods used for the two sequences are different, although both can be digital.