Abstract: Disclosed are systems and methods used in motion estimation and particularly for data compression. Embodiments of the invention may store and operate on an n-bit value in less than n bits. In one embodiment, if the multi-bit value is less than a threshold, then the multi-bit value is stored in the reduced-bit storage directly, with no loss of precision. If the multi-bit value is greater than the threshold, then the Most Significant Bits (MSBs) of the multi-bit value are shifted onto the reduced-bit storage, and a compression flag set. To decompress, if the compression flag was not set, the bits stored in the reduced-bit storage are merely copied back into the multi-bit value directly. If the compression flag was set, then the bits stored in the reduced-bit storage are shifted (left) by the same amount they were shifted (right) during compression, and an error-minimizing value is added.

Abstract: Disclosed are systems and methods used in motion estimation and in other systems where sets of values of numbers are compared. The comparison can use a modified form of summing difference values where portions of the total can be pre-computed. Other difference values can be generated by summing generated filtered values in a cost-effective manner in terms of computing resources and time. The concept of the filtered values can continue to any desired level of refinement. Other concepts disclose multiple methods of computing distance values and systems that can easily switch between the multiple methods.

Abstract: Disclosed are systems and methods used in motion estimation and in other systems. Embodiments of the invention include a built-in masking function that can be used in conjunction with either a difference measurement. A controllable mask bit may be set for each individual ai:bi comparison. In one embodiment, to include the particular location represented by the “i” value in the comparison, the mask bit is left unset; to ignore any location, the mask bit is set. If the mask bit is set, the comparison value is calculated as zero, i.e., there is no difference entered into the calculation, even if there is an actual difference in the two datasets.

Abstract: Disclosed are systems and methods used in motion estimation and particularly for data compression. Embodiments of the invention may store and operate on an n-bit value in less than n bits. In one embodiment, if the multi-bit value is less than a threshold, then the multi-bit value is stored in the reduced-bit storage directly, with no loss of precision. If the multi-bit value is greater than the threshold, then the Most Significant Bits (MSBs) of the multi-bit value are shifted onto the reduced-bit storage, and a compression flag set. To decompress, if the compression flag was not set, the bits stored in the reduced-bit storage are merely copied back into the multi-bit value directly. If the compression flag was set, then the bits stored in the reduced-bit storage are shifted (left) by the same amount they were shifted (right) during compression, and an error-minimizing value is added.

Abstract: Disclosed are systems and methods used in motion estimation and particularly for data compression. Embodiments of the invention may store and operate on an n-bit value in less than n bits. In one embodiment, if the multi-bit value is less than a threshold, then the multi-bit value is stored in the reduced-bit storage directly, with no loss of precision. If the multi-bit value is greater than the threshold, then the Most Significant Bits (MSBs) of the multi-bit value are shifted onto the reduced-bit storage, and a compression flag set. To decompress, if the compression flag was not set, the bits stored in the reduced-bit storage are merely copied back into the multi-bit value directly. If the compression flag was set, then the bits stored in the reduced-bit storage are shifted (left) by the same amount they were shifted (right) during compression, and an error-minimizing value is added.

Abstract: Disclosed are systems and methods used in motion estimation and particularly for data compression. Embodiments of the invention may store and operate on an n-bit value in less than n bits. In one embodiment, if the multi-bit value is less than a threshold, then the multi-bit value is stored in the reduced-bit storage directly, with no loss of precision. If the multi-bit value is greater than the threshold, then the Most Significant Bits (MSBs) of the multi-bit value are shifted into the reduced-bit storage, and a compression flag set. To decompress, if the compression flag was not set, the bits stored in the reduced-bit storage are merely copied back into the multi-bit value directly. If the compression flag was set, then the bits stored in the reduced-bit storage are shifted (left) by the same amount they were shifted (right) during compression, and an error-minimizing value is added.