Cisco Technology, Inc.

Gal Moshitch

Zeev Geyzel

Tal Maoz

Aliza Itzkowitz

Reuven Wachtfogel

Aviva Vaknin

Ahuva Levkowitz

In one embodiment, a system comprises a processor to retrieve a first data element including a value Xand Y, provide a hash function for use with a hash table having buckets, the hash function having a first and second input that in combination map to one of the buckets wherein the first input is in a range of X-values having X-value sub-ranges, the second input is in a range of Y-values having Y-value sub-ranges, different combinations of the X-value sub-ranges and the Y-value sub-ranges map using the hash function to different buckets, and input the value Xand Yinto the hash function yielding an output which is indicative of a first bucket of the hash-table. Related apparatus and methods are also described.

Storing and retrieval heuristics

In one embodiment, a method for detecting faces in video image frames is implemented on a computing device including: comparing current image frames to previously processed image frames to determine similarity, if a current image frame and a previously processed image frame are dissimilar, comparing a location within the current image frame for at least one detected facial image to a location within an associated image frame for at least one most recently stored facial image stored in a most recently used (MRU) cache, if the compared locations are dissimilar, comparing the at least one detected facial image to the at least one most recently stored facial image stored in the MRU cache to determine similarity, and storing the at least one detected facial image in the MRU cache if the at least one detected facial image and the at least one most recently stored facial image are not dissimilar.

Duplicate reduction for face detection

In one embodiment, a system includes a processor to retrieve, from a memory, data of a video frame, the data including measurements of luminance, each of the measurements of luminance being associated with a different entry in a matrix, calculate a weighted average luminance value Ly for the measurements of luminance weighted according to a row position of the one measurement of luminance in the matrix, calculate a weighted average luminance value Lx for the measurements of luminance weighted according to a column position of the one measurement of luminance in the matrix, and create a video signature, S, of the video frame, the video signature, S, including the weighted average luminance value Ly and the weighted average luminance value Lx. Related apparatus and methods are also described.

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Jerusalem, Israel

Gal Moshitch