Abstract: A system and method for measuring the potential eyestrain felt by audiences while watching a 3D presentation, e.g., a stereoscopic motion picture, are provided. The eyestrain measurement system and method of the present disclosure is based on the measurement of disparity (or depth) and disparity transition of stereoscopic images of the 3D presentation. The system and method of the present disclosure provide for acquiring a first image and a second image from a first segment, estimating disparity of at least one point in the first image with at least one corresponding point in the second image, estimating disparity transition of a sequence of first and second images, and determining potential eyestrain felt while viewing the 3D presentation based on the disparity and the disparity transition of the sequence of the first and second images.

Abstract: A system and method for color correction of 3D images including at least two separate image streams captured for a same scene include determining three-dimensional properties of at least a portion of a selected image stream, the three-dimensional properties including light and surface reflectance properties, surface color, reflectance properties, scene geometry and the like. A look of the portion of the selected image stream is then modified by altering the value of at least one of the determined three-dimensional properties and, in one embodiment, applying image formation theory. The modifications are then rendered in an output 3D picture either automatically and/or according to user inputs. In various embodiments, corrections made to the selected one of the at least two image streams can be automatically applied to the other of the image streams.

Abstract: A system and method for measuring the potential eyestrain felt by audiences while watching a 3D presentation, e.g., a stereoscopic motion picture, are provided. The eyestrain measurement system and method of the present disclosure is based on the measurement of disparity (or depth) and disparity transition of stereoscopic images of the 3D presentation. The system and method of the present disclosure provide for acquiring a first image and a second image from a first segment, estimating disparity of at least one point in the first image with at least one corresponding point in the second image, estimating disparity transition of a sequence of first and second images, and determining potential eyestrain felt while viewing the 3D presentation based on the disparity and the disparity transition of the sequence of the first and second images.

Abstract: A system and method for an efficient semantic similarity search of images with a classification structure are provided. The system and method provide for building a semantic classification-search tree for the plurality of images, the classification tree including at least two categories of images, each category of images representing a subset of the plurality of images, receiving a query image, classifying the query image to select one of the at least two categories of images, and restricting the search for the image of interest using the query image to the selected one of the at least two categories of images.

Abstract: A system and method for color correction of 3D images including at least two separate image streams captured for a same scene include determining three-dimensional properties of at least a portion of a selected image stream, the three-dimensional properties including light and surface reflectance properties, surface color, reflectance properties, scene geometry and the like. A look of the portion of the selected image stream is then modified by altering the value of at least one of the determined three-dimensional properties and, in one embodiment, applying image formation theory. The modifications are then rendered in an output 3D picture either automatically and/or according to user inputs. In various embodiments, corrections made to the selected one of the at least two image streams can be automatically applied to the other of the image streams.

Abstract: A system and method for three-dimensional acquisition and modeling of a scene using two-dimensional images are provided. The present disclosure provides a system and method for selecting and combining the three-dimensional acquisition techniques that best fit the capture environment and conditions under consideration, and hence produce more accurate three-dimensional models. The system and method provide for acquiring at least two two-dimensional images of a scene, applying a first depth acquisition function to the at least two two-dimensional images, applying a second depth acquisition function to the at least two two-dimensional images, combining an output of the first depth acquisition function with an output of the second depth acquisition function, and generating a disparity or depth map from the combined output. The system and method also provide for reconstructing a three-dimensional model of the scene from the generated disparity or depth map.

Abstract: A multimedia archive description scheme is provided for characterizing a multimedia archive having records and associated record descriptions. The multimedia archive description scheme provides a data structure which relates records by similarity measures. The principle data structure in the multimedia archive description scheme is a cluster. A cluster includes one or more attributes of the records in the archive and can include one or more cluster relationships. Cluster attributes can include feature space attributes, semantic attributes, media attributes and meta attributes of the records in the archive. The cluster relationships can relate records to clusters or clusters to clusters. Cluster relationships can include feature space (syntactic) relationships, semantic relationships, media relationships and meta relationships. The multimedia archive description scheme provides an efficient form for describing a collection of records.

Abstract: An invention for generating standard description records from multimedia information. The invention utilizes fundamental entity-relation models for the Generic AV DS that classify the entities, the entity attributes, and the relationships in relevant types to describe visual data. It also involves classification of entity attributes into syntactic and semantic attributes. Syntactic attributes can be categorized into different levels: type/technique, global distribution, local structure, and global composition. Semantic attributes can be likewise discretely categorized: generic object, generic scene, specific object, specific scene, abstract object, and abstract scene. The invention further classifies entity relationships into syntactic/semantic categories. Syntactic relationship categories include spatial, temporal, and visual categories. Semantic relationship categories include lexical and predicative categories.