Graph-based framework for video object segmentation and extraction in feature space

    公开(公告)号:US10192117B2

    公开(公告)日:2019-01-29

    申请号:US15167327

    申请日:2016-05-27

    申请人: Kodak Alaris Inc.

    IPC分类号: G06K9/00 G06K9/62

    摘要: A method for graph-based spatiotemporal video segmentation and automatic target object extraction in high-dimensional feature space includes using a processor to automatically analyze an entire volumetric video sequence; using the processor to construct a high-dimensional feature space that includes color, motion, time, and location information so that pixels in the entire volumetric video sequence are reorganized according to their unique and distinguishable feature vectors; using the processor to create a graph model that fuses the appearance, spatial, and temporal information of all pixels of the video sequence in the high-dimensional feature space; and using the processor to group pixels in the graph model that are inherently similar and assign the same labels to them to form semantic spatiotemporal key segments.

    METHOD FOR CREATING AUDIO TRACKS FOR ACCOMPANYING VISUAL IMAGERY

    公开(公告)号:US20180226063A1

    公开(公告)日:2018-08-09

    申请号:US15888867

    申请日:2018-02-05

    申请人: KODAK ALARIS INC.

    IPC分类号: G10H1/00 G10H1/36

    摘要: Methods of creating one or more audio objects to accompany a sequence of multimedia objects are disclosed. According to one embodiment, the method includes using a processor to analyze the multimedia objects and corresponding recorded metadata to generate derived metadata. The method further receives a selection of one or more analysis tools that are configured to analyze the recorded and derived metadata. Next, a selected subset of multimedia objects are identified and sequenced, which will ultimately be coupled to and accompanied by one or more audio objects. Lastly, an embodiment of the present invention generates an audio track to accompany the selected subset of multimedia objects.

    ITERATIVE METHOD FOR SALIENT FOREGROUND DETECTION AND MULTI-OBJECT SEGMENTATION

    公开(公告)号:US20180174301A1

    公开(公告)日:2018-06-21

    申请号:US15847050

    申请日:2017-12-19

    摘要: A system and method that performs iterative foreground detection and multi-object segmentation in an image is disclosed herein. A new background prior is introduced to improve the foreground segmentation results. Three complimentary methods detect and segment foregrounds containing multiple objects. The first method performs an iterative segmentation of the image to pull out the salient objects in the image. In a second method, a higher dimensional embedding of the image graph is used to estimate the saliency score and extract multiple salient objects. A third method uses a metric to automatically pick the number of eigenvectors to consider in an alternative method to iteratively compute the image saliency map. Experimental results show that these methods succeed in accurately extracting multiple foreground objects from an image.

    Context sensitive adaptable user interface

    公开(公告)号:US09823824B2

    公开(公告)日:2017-11-21

    申请号:US14458953

    申请日:2014-08-13

    申请人: Kodak Alaris Inc.

    摘要: A user interface control for an image product creation application is used for adding user supplied text or graphic elements to an image product, wherein the user interface control is responsive to the position relative to a user supplied image, a recognized object within the user supplied image, or an image product related feature, wherein the user interface control provides an indication when the text or graphic elements are positioned proximal to the user supplied image, the recognized object, or the image product related feature, and wherein the user interface control modifies an attribute of the text or graphic elements when placed proximal to the user supplied image, the recognized object, or the image product related feature.