Abstract: A device receives information associated with network devices of a network, such as device information associated with components of the network devices, application information generated by the network devices, or network information associated with interactions of the network devices. The device performs an analysis of the information associated with the network devices via analytics techniques in near real time, and generates analysis information based on the analysis of the information associated with the network devices. The device provides the analysis information for display.

Abstract: Classifying a series of quantized transform coefficients of a block of image data into one of a pre-defined plurality of classes for entropy coding, and entropy coding the block. A class is defined by at least the size of the block and typically but not necessarily one or more other factors. The classified series is coded by one of a set of pre-defined entropy coding methods, e.g., variable length coding methods for the pre-defined classes.

Abstract: A device receives information associated with network devices of a network, such as device information associated with components of the network devices, application information generated by the network devices, or network information associated with interactions of the network devices. The device performs an analysis of the information associated with the network devices via analytics techniques in near real time, and generates analysis information based on the analysis of the information associated with the network devices. The device provides the analysis information for display.

Abstract: A device receives user information associated with a user of a user device that is associated with a network, and creates a user profile, associated with the user, based on the user information. The device determines threats to the network, by the user, based on the user profile. The threats to the network include insider threats, advanced persistent threats, bring your own device (BYOD) threats, cloud security threats, malware threats, and/or denial of service (DoS) threats. The device stores or presents, for display, information associated with the determined threats to the network by the user.

Abstract: Classifying a series of quantized transform coefficients of a block of image data into one of a pre-defined plurality of classes for entropy coding, and entropy coding the block. A class is defined by at least the size of the block and typically but not necessarily one or more other factors. The classified series is coded by one of a set of pre-defined entropy coding methods, e.g., variable length coding methods for the pre-defined classes.

Abstract: Classifying a series of quantized transform coefficients of a block of image data into one of a pre-defined plurality of classes for entropy coding, and entropy coding the block. A class is defined by at least the size of the block and typically but not necessarily one or more other factors. The classified series is coded by one of a set of pre-defined entropy coding methods, e.g., variable length coding methods for the pre-defined classes.

Abstract: A coding method, apparatus, and storage media with instructions to carry out a method. The method operates on an ordered series of transform coefficients of a block of image data, and for a fixed quantization method, and includes quantizing and encoding the ordered series to form a coded bitstream. The quantizing and encoding uses one or more variable length code (VLC) mappings. The quantizing includes quantizing to have amplitude-1 at least one coefficient that would be quantized by the fixed quantization method to have zero amplitude, quantizing to have zero amplitude at least one coefficient that would be quantized by the fixed quantization method to have amplitude-1, and using the fixed quantization method to quantize any coefficient that is quantized by the fixed quantization method not to have zero amplitude, amplitude-1, or amplitude-2.

Abstract: Classifying a series of quantized transform coefficients of a block of image data into one of a pre-defined plurality of classes for entropy coding, and entropy coding the block. A class is defined by at least the size of the block and typically but not necessarily one or more other factors. The classified series is coded by one of a set of pre-defined entropy coding methods, e.g., variable length coding methods for the pre-defined classes.

Abstract: A coding method, apparatus, and storage media with instructions to carry out a method. The method operates on an ordered series of transform coefficients of a block of image data, and for a fixed quantization method, and includes quantizing and encoding the ordered series to form a coded bitstream. The quantizing and encoding uses one or more variable length code (VLC) mappings. The quantizing includes quantizing to have amplitude-1 at least one coefficient that would be quantized by the fixed quantization method to have zero amplitude, quantizing to have zero amplitude at least one coefficient that would be quantized by the fixed quantization method to have amplitude-1, and using the fixed quantization method to quantize any coefficient that is quantized by the fixed quantization method not to have zero amplitude, amplitude-1, or amplitude-2.