Abstract: A client device and method to normalize a digital image into a universal digital color system includes a camera and a processor. The camera acquires a digital image of a color swatch and the processor converts the digital image into a RGB color image of the color swatch. The RGB color image is segmented into segments and each segment is analyzed to determine a dominant color for each segment. At least one dominant color for the color swatch is determined based on prevalence of at least one dominant color in each segment. A hexadecimal code of the universal color system is assigned to the color swatch that is closest to a digital hexadecimal value of the RGB image based on color component intensity values of the dominant color of the color swatch, thereby normalizing RGB colors of the color swatch.

Abstract: A system for normalizing, codifying and categorizing divergent color systems into a universal color system. A server connected to a communications network receives, processes, codifies and categorizes divergent color data from a merchant system. A middleware engine of the server receives a data feed comprising a plurality of color swatches or images from the merchant system, and normalizes the data feed into a common format. A server processor extracts image data comprising a plurality of product images from the normalized data feed, identifies and converts at least one dominant product color in each product image to a digital value, and assigns a hexadecimal code of the universal color system to each product image that is closest to the digital value of each product image based on color component intensity values of at least one dominant product color in each product image. A product categorization engine categorizes each product image into one of a plurality of product categories.

Abstract: A system for normalizing, codifying and categorizing divergent color systems into a universal color language. A server connected to a communications network receives, processes, codifies and categorizes divergent color data from a merchant system. A middleware engine of the server receives a data feed comprising a plurality of color swatches or images from the merchant system, and normalizes the data feed into a common format. A server processor extracts image data comprising a plurality of product images from the normalized data feed, identifies and converts at least one dominant product color in each product image to a digital value based on color component intensity values, and assigns a hexadecimal code of the universal color language to each product image that is closest to the digital value of each product image. A product categorization engine categorizes each product image into one of a plurality of product categories.

Abstract: A system and computer based method for transcribing and extracting metadata from a source media. A processor-based server extracts audio and video stream from the source media. A speech recognition engine processes the audio and/or video stream to transcribe the audio and/or video stream into a time-aligned textual transcription and to extract audio amplitude by time interval, thereby providing a time-aligned machine transcribed media. The server processor measures the aural amplitude of the extracted audio amplitude and assigns a numerical value that is normalized to a single, normalized, universal amplitude scale. A database stores the time-aligned machine transcribed media, time-aligned video frames and the assigned value from the normalized amplitude scale.

Abstract: A system and method for normalizing and codifying divergent color systems into a single universal color system. The middleware engine receives a data feed comprising a plurality of color swatches or images from one or more merchant system and normalizes the data feed into a common format. The dominant processor extracts the product images from the normalized data, segments each product image into segments, determines a dominant color for each segment, and determines the dominant product color for each product image based on prevalence of the dominant product color in each segment. The matched color processor converts the determined dominant product color into a digital value of the universal color system based on the color component intensity values.

Abstract: A system and computer based method for transcribing and extracting metadata from a source media. A processor-based server extracts audio and video stream from the source media. A speech recognition engine processes the audio and/or video stream to transcribe the audio and/or video stream into a time-aligned textual transcription and to extract audio amplitude by time interval, thereby providing a time-aligned machine transcribed media. The server processor measures the aural amplitude of the extracted audio amplitude and assigns a numerical value that is normalized to a single, normalized, universal amplitude scale. A database stores the time-aligned machine transcribed media, time-aligned video frames and the assigned value from the normalized amplitude scale.

Abstract: A system for normalizing, codifying and categorizing divergent color systems into a universal color language. A server connected to a communications network receives, processes, codifies and categorizes divergent color data from a merchant system. A middleware engine of the server receives a data feed comprising a plurality of color swatches or images from the merchant system, and normalizes the data feed into a common format. A server processor extracts image data comprising a plurality of product images from the normalized data feed, identifies and converts at least one dominant product color in each product image to a digital value based on color component intensity values, and assigns a hexadecimal code of the universal color language to each product image that is closest to the digital value of each product image. A product categorization engine categorizes each product image into one of a plurality of product categories.

Abstract: A system and computer based method for transcribing and extracting metadata from a source media. A processor-based server extracts audio and video stream from the source media. A speech recognition engine processes the audio and/or video stream to transcribe the audio and/or video stream into a time-aligned textual transcription and to extract audio amplitude by time interval, thereby providing a time-aligned machine transcribed media. The server processor measures the aural amplitude of the extracted audio amplitude and assigns a numerical value that is normalized to a single, normalized, universal amplitude scale. A database stores the time-aligned machine transcribed media, time-aligned video frames and the assigned value from the normalized amplitude scale.

Abstract: A system for normalizing, codifying and categorizing divergent color systems into a universal color language. A server connected to a communications network receives, processes, codifies and categorizes divergent color data from a merchant system. A middleware engine of the server receives a data feed comprising a plurality of color swatches or images from the merchant system, and normalizes the data feed into a common format. A server processor extracts image data comprising a plurality of product images from the normalized data feed, identifies and converts at least one dominant product color in each product image to a digital value based on color component intensity values, and assigns a hexadecimal code of the universal color language to each product image that is closest to the digital value of each product image. A product categorization engine categorizes each product image into one of a plurality of product categories.

Abstract: A system and method for searching and matching products based on color using a universal color system comprises a plurality of processor based client devices, each client device uniquely associated with a user, a database engine comprising a plurality of products reverse mapped and organized in accordance with the hexadecimal color codes of the universal color system, and a processor based server. The server receives a color-based search query comprising user's color selection from a client device associated with a user over a communications network. The user's color selection comprises at least one hexadecimal color code of the universal color system. A color engine of the server searches the database engine for products having the hexadecimal color codes with a predetermined range of the hexadecimal color code of the user's color selection, and transmits the search result to the client device associated with the user over the communications network.

Abstract: A system and method for normalizing and codifying divergent color systems into a single universal color system. The middleware engine receives a data feed comprising a plurality of color swatches or images from one or more merchant system and normalizes the data feed into a common format. The dominant processor extracts the product images from the normalized data, segments each product image into segments, determines a dominant color for each segment, and determines the dominant product color for each product image based on prevalence of the dominant product color in each segment. The matched color processor converts the determined dominant product color into a digital value of the universal color system based on the color component intensity values.

Abstract: A system for normalizing, codifying categorizing divergent color systems into a universal color language. A server connected to a communications network receives, processes, codifies and categorizes divergent color data from a merchant system. A middleware engine of the server receives a data feed comprising a plurality of color swatches or images from the merchant system, and normalizes the data feed into a common format. A server processor extracts image data comprising a plurality of product images from the normalized data feed, identifies and converts at least one dominant product color in each product image to a digital value based on color component intensity values, and assigns a hexadecimal code of the universal color language to each product image that is closest to the digital value of each product image. A product categorization engine categorizes each product image into one of a plurality of product categories.

Abstract: A system and computer based method for transcribing and extracting metadata from a source media. A processor-based server extracts audio and video stream from the source media. A speech recognition engine processes the audio stream to transcribe the audio stream into a time-aligned textual transcription, thereby providing a time-aligned machine transcribed media. The video frame engine process the video stream to extract time-aligned video frames. A database stores the time-aligned machine transcribed media and time-aligned video frames. A server processor processes the time-aligned machine transcribed media to extract time-aligned textual metadata associated with the source media, and processes the time-aligned vide frames to extract time-aligned visual metadata associated with the source media.

Abstract: A system and method for searching and matching products based on color using a universal color system comprises a plurality of processor based client devices, each client device uniquely associated with a user, a database engine comprising a plurality of products reverse mapped and organized in accordance with the hexadecimal color codes of the universal color system, and a processor based server. The server receives a color-based search query comprising user's color selection from a client device associated with a user over a communications network. The user's color selection comprises at least one hexadecimal color code of the universal color system. A color engine of the server searches the database engine for products having the hexadecimal color codes with a predetermined range of the hexadecimal color code of the user's color selection, and transmits the search result to the client device associated with the user over the communications network.

Abstract: A system and method for normalizing and codifying divergent color systems into a single universal color system. The middleware engine receives a data feed comprising a plurality of color swatches or images from one or more merchant system and normalizes the data feed into a common format. The dominant processor extracts the product images from the normalized data, segments each product image into segments, determines a dominant color for each segment, and determines the dominant product color for each product image based on prevalence of the dominant product color in each segment. The matched color processor converts the determined dominant product color into a digital value of the universal color system based on the color component intensity values.

Abstract: A system and method for normalizing and codifying divergent color systems into a single universal color system. The middleware engine receives a data feed comprising a plurality of color swatches or images from one or more merchant system and normalizes the data feed into a common format. The dominant processor extracts the product images from the normalized data, segments each product image into segments, determines a dominant color for each segment, and determines the dominant product color for each product image based on prevalence of the dominant product color in each segment. The matched color processor converts the determined dominant product color into a digital value of the universal color system based on the color component intensity values.

Abstract: A marketing platform enhancement to generate and transmit formatted advertisements and digital catalogs by utilizing user demographics and preferences to generate targeted and micro-targeted marketing materials. The customized advertisements and digital catalogs that are created draw upon up-to-date information maintained by merchant supply chain management systems (SCM) and/or inventory management systems (IMS) to more effectively and more frequently advertise merchant products based on user preferences.

Abstract: A color-based system, methods and interfaces to gather, identify, search for and match products using color as a primary indicator. The system, methods and interfaces are preferably implemented as an enhancement of proprietary merchant inventory management systems (IMS) and supply chain management systems (SCM) which enable the effective codification and evaluation of color-based data received and transformed from a number of different merchant IMS and SCM feeds. The system architecture further enables dynamic color processing, pattern recognition and a robust set of features for enhancing commercial experiences of and interactions between consumers and merchants.

Abstract: The present invention is a confectionery device having at least two engaging portions specifically adapted to engage a receiving-side on the outer crown and a receiving-side formed on the mouthpiece-side at end of a hollow closed in barrel. The portion that remains open will slide over a decorated object. The decorated object will tightly fit into place with a friction fit due to the air channels located at the end of the barrel. The exterior of the confectionery device is comprised of two sections; the crown and base. The crown of the confectionery device is constructed and adapted to receive and securely embrace confections of all shapes and sizes. The base of the confectionery device is less adapted to embrace confections while its smooth surface allows children of all ages to enjoy their confection in a safe and hygienic manner. All in all when the confectionery device is adapted to a decorative rod while embracing a confection, it forms an attractive lollipop aiding in the amusement of eating a candy.