Abstract: A method for an automated video generation from a set of digital images includes the step of obtaining the set of digital images. The set of digital images represent a specified object to be showcased in an automatically generated video. The method includes the step of implementing pose identification on each view of the specified object in the set of digital images. The method includes the step of implementing a background removal operation to set a consistent background to each digital image. The method includes the step of implementing an image resolution increase operation on each digital image. The method includes the step of implementing an attribute extraction operation on each digital image using a set of image classifiers. The set of image classifiers are run on each digital image to generate one or more textual tags. The one or more textual tags are integrated in the automatically generated video; The method includes the step of implementing an attention map generation.

Abstract: In one aspect, a computerized method of computer vision based dynamic universal fashion ontology fashion rating and recommendations includes the step of receiving one or more user-uploaded digital images. The method includes the step of implementing an image classifier on the one or more user-uploaded digital images, to classify a set of user-uploaded fashion content of the one or more user-upload digital images. The method includes the step of receiving a set of fashion rules input by a domain expert. The set of rules determine a set of apparel to match with the set of user-uploaded fashion content, generating a dynamic universal fashion ontology with the image classier and a text classier. The dynamic universal fashion ontology comprises an ontology of set of mutually exclusive attribute classes. The method includes the step of using the dynamic universal fashion ontology to train a specified machine learning based fashion classifications.

Abstract: Methods are provided for training and validating deep learning models for visual search and related tasks as they pertain to fashion items such as garments. The methods presented address the special needs of visual search as it pertains to fashion and related industries by generating large numbers of synthetic images or videos for training deep learning models, and also for validating those models. Given a 3D model of a target garment, the methods select appropriate 3D models for humans and scenes, and also selects various values for the customizable parameters of each of the 3D models, and then renders an image or video. A dataset comprising such synthetic images can be blended with real-world tagged images to create composite datasets for training.

Abstract: In one aspect, a computerized method of computer vision based dynamic universal fashion ontology fashion rating and recommendations includes the step of receiving one or more user-uploaded digital images. The method includes the step of implementing an image classifier on the one or more user-uploaded digital images, to classify a set of user-uploaded fashion content of the one or more user-upload digital images. The method includes the step of receiving a set of fashion rules input by a domain expert. The set of rules determine a set of apparel to match with the set of user-uploaded fashion content, generating a dynamic universal fashion ontology with the image classier and a text classier. The dynamic universal fashion ontology comprises an ontology of set of mutually exclusive attribute classes. The method includes the step of using the dynamic universal fashion ontology to train a specified machine learning based fashion classifications.

Abstract: The embodiments herein provide a method and system for providing an image based mobile augmented reality. The system comprises a mobile device comprising a camera for capturing plurality of images, a display screen for displaying results, a GPS module for determining geographical coordinates, an input interface and a client application including a client-side database; and a central server comprising a server-side database and an image matching and ranking module comprising one or more image matching algorithms for performing an image search. The method comprises capturing a query image, transmitting query data to the central server, applying one or more image matching and ranking algorithms to identify database images matching to the search query, extracting relevant information, presenting the extracted relevant information as search results to the user and providing an option to the user to interactively communicate with the system.

Abstract: The embodiments herein provide a method and system for providing an image based mobile augmented reality. The system comprises a mobile device comprising a camera for capturing plurality of images, a display screen for displaying results, a GPS module for determining geographical coordinates, an input interface and a client application including a client-side database; and a central server comprising a server-side database and an image matching and ranking module comprising one or more image matching algorithms for performing an image search. The method comprises capturing a query image, transmitting query data to the central server, applying one or more image matching and ranking algorithms to identify database images matching to the search query, extracting relevant information, presenting the extracted relevant information as search results to the user and providing an option to the user to interactively communicate with the system.

Abstract: A display control system for a portable computer drives, from a single frame buffer, both a built-in flat panel (LCD type) display as well as a separate external CRT display or an NTSC/PAL television monitor. Either identical or different images may be displayed simultaneously on the CRT display or television and on the flat panel display. Independent clocking is provided to each display to enable this simultaneous display of different images as well as simultaneously display of identical images. The display control system is suitable for use with a wide variety of CRT displays and flat panel displays by means of internal programmable controls.

Abstract: An LCD controller for use e.g. in a portable computer provides gray scale shading for both monochromatic and color displays using frame rate control modulation for intensity shading for each pixel. The gray scale shading process and circuit do not require any memory for storing phase tiling matrices or frame modulation pattern sequences; both of these instead are generated in real time using a linear matrix logic structure. Use of linear matrix operations also allows generation of various phase shifts of frame modulation pattern sequences to provide a better image on the display. In addition to providing programmable 4, 8, or 16 intensity levels, the present method and apparatus provide that vertically, horizontally or diagonally adjacent pixels on the display never have the same phase in the same frame, and in addition that the pixel display drivers are uniformly loaded.