207 results about "Very large database" patented technology

Data streams are generally selected according to user preferences and transmitted to the user in general alignment with expressed preferences of the user. Such data streams may be audio, video, or other works, such as popular music or the like, or other works, including music videos. Using a large database on the order of tens or hundreds of thousands of songs, users may indicate their general or specific preferences with regards to song, artists, or albums. Other users, particularly ones who access the system often, can act as influencers or controllers of the music transmitted to the user. Any other aspects or factors that might affect the user's preferences can be taken into account, such as popular radio stations in the United States or anywhere in the world. A playlist is created that combines all of these factors, as well as any applicable statutory regulations. The playlist then serves as the basis for feeding the data streams to the user, who is then able to enjoy music generally of his or her choosing, while additionally being exposed to new music (if the user so prefers). An Internet radio is thus established using the expansive and diverse abilities present in the Internet. Each user is able to express his or her own preferences and receive music corresponding to those preferences on an on-going basis. Every individual then is like the manager of his or her own radio station and may broadcast to him- or herself the music that parallels his or her tastes. Other users may also choose to hear the same playlist as another individual, or allow that individual to influence their playlist.

Hashes are short summaries or signatures of data files which can be used to identify the file. Hashing multimedia content (audio, video, images) is difficult because the hash of original content and processed (e.g. compressed) content may differ significantly. The disclosed method generates robust hashes for multimedia content, for example, audio clips. The audio clip is divided (12) into successive (preferably overlapping) frames. For each frame, the frequency spectrum is divided (15) into bands. A robust property of each band (e.g. energy) is computed (16) and represented (17) by a respective hash bit. An audio clip is thus represented by a concatenation of binary hash words, one for each frame. To identify a possibly compressed audio signal, a block of hash words derived therefrom is matched by a computer (20) with a large database (21). Such matching strategies are also disclosed. In an advantageous embodiment, the extraction process also provides information (19) as to which of the hash bits are the least reliable. Flipping these bits considerably improves the speed and performance of the matching process.

A software system automatically and dynamically generates a fully functional user interface (UI) based upon, and connected directly to, an underlying data model (as instantiated within a relational database management system (RDBMS)). The UI derives from an automated interrogation of the RDBMS, and comprises all mode displays (e.g., browse, search, edit, add) for all tables, and a full complement of mechanisms—integrated directly into the mode displays—for representing, navigating, and managing relationships across tables, regardless of the complexity of the underlying RDBMS schema. It utilizes a hierarchical “context stack” for suspending the working state of a particular table while “drilling down” to work with related-table information and return relevant changes to the base table. The embodiment further provides methods to enhance and extend the internal representation of table structures, constraints, relationships, and-special requirements (“business rules”) for improved revelation of the schema structure through external interrogation.