Abstract: Systems and methodologies are described that facilitate identifying a plurality of keysets utilized in a communications network. The keysets can include ciphering keys that provide data encryption and decryption and integrity keys that provide data integrity protection. A key identifier can be included in a packet data convergence protocol header that indicates a keyset employed in connection with data in a protocol data unit. In addition, a route indicator can be provided in a radio link control header that distinguishes a source cell and a target cell in networks configured without RLC reset.

Abstract: In a particular illustrative embodiment, a method of determining a viewpoint of a person based on skin color area and face area is disclosed. The method includes receiving image data corresponding to an image captured by a camera, the image including at least one object to be displayed at a device coupled to the camera. The method further includes determining a viewpoint of the person relative to a display of the device coupled to the camera. The viewpoint of the person may be determined by determining a face area of the person based on a determined skin color area of the person and tracking a face location of the person based on the face area. One or more objects displayed at the display may be moved in response to the determined viewpoint of the person.

Abstract: A set of wireless relay nodes are managed to facilitate inter-node routing of packets in the set. In some aspects, unique identifiers are defined for the wireless relay nodes to facilitate routing packets within the set. In some aspect a routing table is provided to each of the wireless relay nodes, wherein the routing table identifies each wireless relay node in the set and a next-hop entity for each of these wireless relay nodes. Each of the wireless relay nodes may then define a forwarding table based on the routing table.

Abstract: A method is disclosed that includes receiving image data and calculating brightness information of the image data. The method includes correcting at least one lens roll-off value to be used in a lens roll-off correction operation based on the brightness information. The method also includes performing the lens roll-off correction operation on the image data using the at least one corrected lens roll-off value.

Abstract: Method and apparatus for secure transmissions. Each user is provided a registration key. A long-time updated broadcast key is encrypted using the registration key and provided periodically to a user. A short-time updated key is encrypted using the broadcast key and provided periodically to a user. Broadcasts are then encrypted using the short-time key, wherein the user decrypts the broadcast message using the short-time key.

Abstract: A communication system generates a Master Session Key (MSK) for accesses to a system entity that does not provide encryption to traffic. Both the home server and the user generate the same MSK. The MSK is used to generate encryption keys for traffic. In one embodiment the MSK is generated using a hashing function and information specific to the requestor. The home server determines the need to generate the MSK based on information contained in an access request message. Once generated, the MSK is provided to the system entity to enable the entity to encrypt communications.

Abstract: A digital image system identifies defective pixels of a digital image sensor based on sensor values of pixels positioned in at least two dimensions on the digital image sensor. The exemplary imaging system includes a buffer for receiving sensor values that are each associated with a pixel in the digital image sensor and electronics for comparing the sensor value associated with a test pixel to the sensor values of pixels positioned in at least two dimensions on the digital image sensor. The electronics determines whether the test pixel is a defective pixel based on the comparison.

Abstract: A method and apparatus for the variable rate coding of a speech signal. An input speech signal is classified and an appropriate coding mode is selected based on this classification. For each classification, the coding mode that achieves the lowest bit rate with an acceptable quality of speech reproduction is selected. Low average bit rates are achieved by only employing high fidelity modes (i.e., high bit rate, broadly applicable to different types of speech) during portions of the speech where this fidelity is required for acceptable output. Lower bit rate modes are used during portions of speech where these modes produce acceptable output. Input speech signal is classified into active and inactive regions. Active regions are further classified into voiced, unvoiced, and transient regions. Various coding modes are applied to active speech, depending upon the required level of fidelity. Coding modes may be utilized according to the strengths and weaknesses of each particular mode.

Abstract: A low-bit-rate coding technique for unvoiced segments of speech, without loss of quality compared to the conventional Code Excited Linear Prediction (CELP) method operating at a much higher bit rate. A set of gains are derived from a residual signal after whitening the speech signal by a linear prediction filter. These gains are then quantized and applied to a randomly generated sparse excitation. The excitation is filtered, and its spectral characteristics are analyzed and compared to the spectral characteristics of the original residual signal. Based on this analysis, a filter is chosen to shape the spectral characteristics of the excitation to achieve optimal performance.

Abstract: A speech classification technique for robust classification of varying modes of speech to enable maximum performance of multi-mode variable bit rate encoding techniques. A speech classifier accurately classifies a high percentage of speech segments for encoding at minimal bit rates, meeting lower bit rate requirements. Highly accurate speech classification produces a lower average encoded bit rate, and higher quality decoded speech. The speech classifier considers a maximum number of parameters for each frame of speech, producing numerous and accurate speech mode classifications for each frame. The speech classifier correctly classifies numerous modes of speech under varying environmental conditions.