Abstract: A system and method for converting two dimensional video to three dimensional video includes a processor having an input for receiving a two dimensional image data and an output for outputting three dimensional image data to a display. The processor is configured to receive two dimensional image data, segment a specific object in the two dimensional image data based on variations in brightness and sharpness in the two dimensional image data to identify and locate the specific object in the two dimensional image data. The processor is also configured to adjust the depth value of the specific object over the period of time as the size of the specific object changes in each of the two dimensional images or adjust the depth value of the specific object over the period of time as the size of the specific object changes in each of the two dimensional images.

Abstract: A system and method for converting two dimensional video to three dimensional video includes a processor having an input for receiving a two dimensional image data and an output for outputting three dimensional image data to a display. The processor is configured to receive two dimensional image data, segment a specific object in the two dimensional image data based on variations in brightness and sharpness in the two dimensional image data to identify and locate the specific object in the two dimensional image data. The processor is also configured to adjust the depth value of the specific object over the period of time as the size of the specific object changes in each of the two dimensional images or adjust the depth value of the specific object over the period of time as the size of the specific object changes in each of the two dimensional images.

Abstract: A system and method for converting two dimensional video to three dimensional video includes a processor having an input for receiving a two dimensional image data and an output for outputting three dimensional image data to a display. The processor is configured to receive two dimensional image data, segment a specific object in the two dimensional image data based on variations in brightness and sharpness in the two dimensional image data to identify and locate the specific object in the two dimensional image data. The processor is also configured to adjust the depth value of the specific object over the period of time as the size of the specific object changes in each of the two dimensional images or adjust the depth value of the specific object over the period of time as the size of the specific object changes in each of the two dimensional images.

Abstract: A tag writing and reading method suitable for a semiconductor product are provided. In the tag writing method, a code representing a tag is provided, and then the code is converted into a tag pattern that is then combined with a portion of the pattern of the pattern. Next, the pattern is combined with the tag pattern and used as the design content of the semiconductor product. In addition, a length of line segment, a number of points or interval(s) between a plurality of line segments may be adopted for representing the code of the tag. In addition, the tag code may include a patent number.

Abstract: A tag writing and reading method suitable for a semiconductor product are provided. In the tag writing method, a code representing a tag is provided, and then the code is converted into a tag pattern that is then combined with a portion of the pattern of the pattern. Next, the pattern is combined with the tag pattern and used as the design content of the semiconductor product. In addition, a length of line segment, a number of points or interval(s) between a plurality of line segments may be adopted for representing the code of the tag. In addition, the tag code may include a patent number.