The present disclosure relates to methods and systems for organizing, viewing, and connecting annotations of web documents within web browsers. The rationale for connecting annotations is discussed in detail along with mechanisms to enhance asynchronous, guided viewing within web browsers. Furthermore, data structures and processes for constructing this functionality are discussed with the aid of use case and sequence diagrams as well as verbal descriptions. In addition, guidance is provided for hardware system specifications and architectures of the exemplary systems that are discussed.

Systems and methods are provided for logging temperatures of food products using a temperature assembly including a housing and one or more temperature sensors, e.g., an infrared sensor for surface temperatures and an elongate probe for acquiring a temperature within a food product, and a mobile electronic device including a camera, a communication interface for communicating with the temperature assembly, a processor configured to acquire a temperature reading from the temperature assembly and an image from the camera when the temperature reading is acquired, and memory for storing the temperature reading and image.

A computer-implemented method of associating digital tags with digital files comprises storing a plurality of digital files having embedded therein content data and metadata including tags; receiving, via a user interface device of a client device, a first tag label containing alphanumeric text created and inputted by a user of the client device; modifying, using a controller device, a selected first one of the tags of the metadata in a first of the digital files to include the first tag label; receiving, via the user interface device or another user interface device, an instruction to search for all of the digital files having at least the first tag label; responsive to receiving the instruction, automatically searching for all of the digital files having at least the first tag label; and displaying, on a video display device associated with the client device, a first indication of the first tag label.

A computer-implemented method for generating personalized image filters is disclosed. The computer-implemented method includes receiving a user request to generate a filter for an input image. The computer-implemented method further includes generating one or more keyword lists associated with the input image. The computer-implemented method further includes determining one or more themes associated with the input image based, at least in part, on one or more keywords selected from the one or more keyword lists. The computer-implemented method further includes identifying one or more candidate images matching the one or more themes associated with the image. The computer-implemented method further includes generating one or more personalized image filters based on one or more features from one or more of the candidate images.

This invention relates to a network interface device. A first capture device interfaces with a first external information source to capture first external information. A processor processes the captured first external information and stores it in a first media. The processor initiates the storage of the first captured information at an initial time and completes storage of the first captured information at a completion time, thus providing a stored defined set of first captured information. A transmitter transmits the defined set of stored captured information to a remote location on a network. A remote processing system is disposed at the remote node on the network and includes a database and a receiver for receiving the transmitted defined set of first captured information. A data converter is operable to convert the received defined set of first captured information to a second format. The database stores the set of converted captured information.

Systems and methods are described that provide for determining a relative non-monetary value of real estate properties and translating seeking users' real estate needs into user-specific criteria that can be incorporated in searches and optimize real estate search results based on the seeking users' needs for both real estate seeking users and real estate offering users. Seeking users may be evaluated for user-specific needs and receiver recommendations for real estate to purchase, lease, use, or occupy for highest and best use of available real estate. Furthermore, real estate matching seeking users' needs may be presented to an offering user. The offering user may update any real estate listings to match the needs of the seeking user as well as needs of other seeking users to target specific users or gain more interested users.

Example systems are to capture screenshots corresponding respectively to search results pages returned from a reverse image search engine, the search results pages corresponding respectively to image frames of a video processed by the reverse image search engine, generate base query records corresponding respectively to ones of the screenshots that have respective textual information matching a base search term, the respective ones of the base query records including the base search term and at least portions of the respective textual information from the corresponding screenshots, determine an object search term based on a frequency analysis of the textual information included in the base query records, generate object query records corresponding respectively to ones of the base query records that have respective textual information matching the object search term, and identify an object depicted in the video based on one or more criteria applied to the object query records.

Example systems are to capture screenshots corresponding respectively to search results pages returned from a reverse image search engine, the search results pages corresponding respectively to image frames of a video processed by the reverse image search engine, generate base query records corresponding respectively to ones of the screenshots that have respective textual information matching a base search term, the respective ones of the base query records including the base search term and at least portions of the respective textual information from the corresponding screenshots, determine an object search term based on a frequency analysis of the textual information included in the base query records, generate object query records corresponding respectively to ones of the base query records that have respective textual information matching the object search term, and identify an object depicted in the video based on one or more criteria applied to the object query records.

A computer-implemented method of associating digital tags with digital files comprises storing a plurality of digital files having embedded therein content data and metadata including tags; receiving, via a user interface device of a client device, a first tag label containing alphanumeric text created and inputted by a user of the client device; modifying, using a controller device, a selected first one of the tags of the metadata in a first of the digital files to include the first tag label; receiving, via the user interface device or another user interface device, an instruction to search for all of the digital files having at least the first tag label; responsive to receiving the instruction, automatically searching for all of the digital files having at least the first tag label; and displaying, on a video display device associated with the client device, a first indication of the first tag label.

A system for analyzing screenshots can include a computing device including a processor coupled to a memory and a display screen configured to display content. The system can include an application stored on the memory and executable by the processor. The application can include a screenshot receiver configured to access, from storage to which a screenshot of the content displayed on the display screen captured using a screenshot function of the computing device is stored, the screenshot including an image and a predetermined marker. The application can include a marker detector configured to detect the predetermined marker included in the screenshot. The application can include a link identifier configured to identify, using the predetermined marker, a link to a resource mapped to the image included in the screenshot, the resource accessible by the computing device via the link.