Cyberlink Corporation

Chung-Yi Weng

Shih-Min Tang

Ho Chao Huang

Chi-Ming Lee

Huan-Wen Hsiao

Ho-Chao Huang

Wei-Ting Tsai

Jau-Hsiung Huang

Ming-Hsiu Chang

Cheng-da Chung

Various embodiments are disclosed for image editing. A frame is obtained from a frame sequence depicting at least one individual, and facial characteristics in the frame are analyzed. A utilization score is assigned to the frame based on the detected facial characteristics, and a determination of whether to utilize the frame is made based on the utilization score. A completeness value is assigned, and a determination is made based on the completeness value of whether to repeat the steps above for an additional frame in the frame sequence based on the completeness value. Regions from the frames are combined to generate a composite image.

Systems and methods for image editing

Disclosed are various embodiments for tracking an object shown as moving in a video. One embodiment is a method for tracking an object in a video that comprises tracking in a first temporal direction an object in a plurality of video frames and generating a first tracking result, evaluating the first tracking result corresponding to tracking of the object in the first temporal direction, and stopping tracking in the first temporal direction upon the occurrence of a predefined event, wherein the predefined event is based on an evaluated tracking result. The method further comprises obtaining data identifying an object outline of the object upon stopping the tracking in the first temporal direction, tracking in a second temporal direction the object based on the data identifying the object outline of the object to generate a second tracking result, and generating a refined tracking result based on at least on one of the first tracking result, the second tracking result, or a combination thereof.

Systems and methods for tracking an object in a video

Various systems and methods for adaptively modifying a user interface are described. One embodiment is a method performed in a multimedia playback system for adaptively modifying a user interface. The method comprises receiving, by the multimedia playback system, multimedia content and displaying the multimedia content. The method further comprises generating, by a user interface generator, one or more controls displayed in conjunction with the multimedia content, identifying, by an object detector, a target object in a field of view of a video capture device coupled to the multimedia playback system, and predicting, by a selection predictor, a next selection of one of the one or more controls based on a path defined by the target object. The method further comprises displaying, by the user interface generator, a virtual pointer representing the target object in a vicinity of the predicted next selection of the one or more controls.

Systems and methods for improving object detection

Disclosed are various embodiments for the selection of an object boundary shown in an image. An initial boundary probability map of an image is generated by one or more computing devices. A first input path segment is obtained, and a selection path is generated based on the first input path segment and the initial boundary probability map. A weighted boundary probability map is generated based on the selection path. A second input path segment is obtained, and a replacement selection path is generated based on the weighted boundary probability map and the second input path segment.

System and method for selecting an object boundary in an image

Various embodiments are disclosed for detecting facial regions in a plurality of images. In one embodiment, a method comprises assigning at least one of the possible facial regions an assurance factor, forming clusters of possible facial regions based on a connection factor between the facial regions, and determining facial regions from the possible facial regions based on the assurance factor and the clusters of possible facial regions.

Systems and methods for performing facial detection

Various systems and methods are described for tagging photos of individuals. A plurality of facial regions is detected from a plurality of images. The images are grouped based on similarities between the facial regions within the plurality of images. Tagging data associated with one or more of the clusters is received, and based on comparing the untagged clusters with tagged clusters, untagged clusters are tagged.

Systems and methods for tagging photos

To browse images grouped by person on a photo displaying system, a plurality of facial regions are generated from a plurality of images of a plurality of albums. The facial regions are grouped into a plurality of clusters of faces based on similarity between the facial regions. The clusters of faces are associated with the albums. A signal is received to select one of the facial regions. The selected facial region belongs to a specific cluster of faces and the specific cluster of faces is associated with a specific album of the albums. Images of the specific album and facial regions of the clusters of faces are displayed.

Method of browsing photos based on people

A method of browsing face regions in digital images in a photo displaying system includes detecting a plurality of face regions from a plurality of images, grouping the face regions into a plurality of clusters based on similarities of the face regions, determining a degree of connection between the clusters, modifying the degree of connection between the clusters according to a relationship of the face regions, and displaying the face regions according to the degree of connection between the clusters.

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Taichung, Taiwan

Chung-Yi Weng