Embodiments of the present invention relate generally to visual degrading of images. Systems and methods for fast visual degrading of an entire image or localized region(s) within the image are provided. In an embodiment, a system for fast localized visual degrading of images includes a map creator and a coefficient list modifier. The map creator generates a map. The map may identify one or more degradation regions within an image. The coefficient list modifier reduces coefficient data in at least one block associated with a degradation region identified in the map. In another embodiment, a computer-implemented method for fast localized visual degrading of images is provided. The method includes generating a map that identifies one or more degradation regions within an image, and reducing coefficient data in at least one block associated with a degradation region identified in the map.

A system that validates a native code module. During operation, the system receives a native code module comprised of untrusted native program code. The system validates the native code module by: (1) determining that code in the native code module does not include any restricted instructions and/or does not access restricted features of a computing device; and (2) determining that the instructions in the native code module are aligned along byte boundaries such that a specified set of byte boundaries always contain a valid instruction and control flow instructions have valid targets. The system allows successfully-validated native code modules to execute, and rejects native code modules that fail validation. By validating the native code module, the system facilitates safely executing the native code module in the secure runtime environment on the computing device, thereby achieving native code performance for untrusted program binaries without significant risk of unwanted side effects.

A system that safely executes a native code module on a computing device. During operation, the system receives the native code module, which is comprised of untrusted native program code expressed using native instructions in the instruction set architecture associated with the computing device. The system then loads the native code module into a secure runtime environment, and proceeds to execute a set of instructions from the native code module in the secure runtime environment. The secure runtime environment enforces code integrity, control-flow integrity, and data integrity for the native code module. Furthermore, the secure runtime environment moderates which resources can be accessed by the native code module on the computing device and/or how these resources can be accessed. By executing the native code module in the secure runtime environment, the system facilitates achieving native code performance for untrusted program code without a significant risk of unwanted side effects.

In one embodiment the present invention is a method for populating and updating a database of images of landmarks including geo-clustering geo-tagged images according to geographic proximity to generate one or more geo-clusters, and visual-clustering the one or more geo-clusters according to image similarity to generate one or more visual clusters. In another embodiment, the present invention is a system for identifying landmarks from digital images, including the following components: a database of geo-tagged images; a landmark database; a geo-clustering module; and a visual clustering module. In other embodiments the present invention may be a method of enhancing user queries to retrieve images of landmarks, or a method of automatically tagging a new digital image with text labels.

A mapping engine receives map data from a map server and displays electronic maps. The mapping engine also receives one or more templates that specify metrics to show with the map. The templates specify metrics to accomplish specific tasks, such as house hunting. Metrics describe attributes of the areas shown in the map and are received from a metrics server or another source. Metrics are static or dynamic. Some metrics are explicitly specified, while other metrics are computed in response to the map data and/or other metrics. One or more of the templates are designated as "active," and the mapping engine displays the metrics of the active templates. The mapping engine displays some metrics on the map and other metrics in a metrics panel.