公开(公告)号：US20140123179A1

公开(公告)日：2014-05-01

申请号：US13663706

申请日：2012-10-30

Applicant: Haohong WANG

Inventor： Haohong WANG

IPC: H04N21/00

CPC classification number: H04N21/4826 ,  G06F17/2241 ,  G06F17/30058 ,  H04N21/25 ,  H04N21/251 ,  H04N21/431 ,  H04N21/4312 ,  H04N21/4438 ,  H04N21/45 ,  H04N21/466 ,  H04N21/4668 ,  H04N21/482

Abstract: A method is provided for a content recommendation module. The method includes receiving a user input related to viewing contents from a user and determining whether a recommendation pool containing a plurality of selected recommendation candidates has been changed corresponding to the input. The method also includes, when the recommendation pool has been changed, mapping the plurality of selected recommendation candidates in the changed recommendation pool into a hierarchical data structure with a plurality of levels such that each of the plurality of levels acts as a stage of a zoom operation on the selected recommendation candidates. Further, the method includes rendering mapped recommendation candidates from the plurality of levels to be displayed to the user.

Abstract translation: 提供了一种用于内容推荐模块的方法。 该方法包括从用户接收与观看内容相关的用户输入，并且确定包含多个所选推荐候选的推荐池是否已经相应于输入而改变。 该方法还包括当推荐池已经被改变时，将改变的推荐池中的多个选择的推荐候选映射到具有多个级别的分级数据结构，使得多个级别中的每一个级别作为缩放级 对所选推荐候选人的操作。 此外，该方法包括将来自多个级别的映射的推荐候选图像呈现给用户。

公开(公告)号：US08605945B2

公开(公告)日：2013-12-10

申请号：US13437736

申请日：2012-04-02

Applicant: Khaled Helmi El-Maleh ,  Haohong Wang

Inventor： Khaled Helmi El-Maleh ,  Haohong Wang

IPC: G06K9/00

CPC classification number: G06K9/00234 ,  G06K9/00248 ,  G06T7/11 ,  G06T7/174 ,  G06T7/194 ,  G06T7/215 ,  G06T2207/10016 ,  G06T2207/20036 ,  G06T2207/20132 ,  G06T2207/30201

Abstract: The disclosure is directed to techniques for automatic segmentation of a region-of-interest (ROI) video object from a video sequence. ROI object segmentation enables selected ROI or “foreground” objects of a video sequence that may be of interest to a viewer to be extracted from non-ROI or “background” areas of the video sequence. Examples of a ROI object are a human face or a head and shoulder area of a human body. The disclosed techniques include a hybrid technique that combines ROI feature detection, region segmentation, and background subtraction. In this way, the disclosed techniques may provide accurate foreground object generation and low-complexity extraction of the foreground object from the video sequence. A ROI object segmentation system may implement the techniques described herein. In addition, ROI object segmentation may be useful in a wide range of multimedia applications that utilize video sequences, such as video telephony applications and video surveillance applications.

Abstract translation: 本公开涉及从视频序列自动分割感兴趣区域（ROI）视频对象的技术。 ROI对象分割使得可以从视频序列的非ROI或“背景”区域中提取观看者感兴趣的视频序列的所选ROI或“前景”对象。 ROI对象的示例是人体的人脸或头肩部区域。 所公开的技术包括组合ROI特征检测，区域分割和背景减除的混合技术。 以这种方式，所公开的技术可以从视频序列提供前景对象生成和前景对象的低复杂度提取的准确性。 ROI对象分割系统可以实现本文描述的技术。 此外，ROI对象分割可能在使用诸如视频电话应用和视频监控应用之类的视频序列的多种多媒体应用中是有用的。

公开(公告)号：US08587609B1

公开(公告)日：2013-11-19

申请号：US12510834

申请日：2009-07-28

Applicant: Haohong Wang ,  Yunsen Chin ,  Li Sha ,  Shuhua Xiang

Inventor： Haohong Wang ,  Yunsen Chin ,  Li Sha ,  Shuhua Xiang

IPC: G09G5/00 ,  G09G5/24 ,  G06T11/00

CPC classification number: G06T11/40 ,  G06T11/203 ,  G09G5/246 ,  G09G5/28

Abstract: Embodiments of the present invention provide methods and associated architecture of accuracy adaptive and scalable vector graphics rendering including rendering a graphic comprising a plurality of line segments by processing each of the plurality of line segments in a first pass, and processing each of a plurality of pixels through which the plurality of line segments pass in a second pass, automatically detecting one or more rendering errors of the graphic, and correcting the one or more rendering errors. Other embodiments may be described and/or claimed.

Abstract translation: 本发明的实施例提供了精度自适应和可缩放的矢量图形渲染的方法和相关架构，包括通过在第一遍中处理多个线段中的每一个来渲染包括多个线段的图形，以及处理多个像素 多个线段通过其通过第二遍，自动检测图形的一个或多个渲染错误，以及校正一个或多个渲染错误。 可以描述和/或要求保护其他实施例。

公开(公告)号：US20130081081A1

公开(公告)日：2013-03-28

申请号：US13241146

申请日：2011-09-22

Applicant: Haohong Wang

Inventor： Haohong Wang

IPC: H04N21/25

CPC classification number: H04N21/25891 ,  H04N21/25875 ,  H04N21/4826

Abstract: A system for minimizing interactions with at least an input mechanism, comprising at least a management server communicatively coupled to at least a user endpoint device, the user endpoint device comprising at least a display, an input mechanism, and a transponder mechanism configured to communicate data related to interactions with the input mechanism and displayed content, at least one storage device configured to store data based on content displayed on the display, interactions with the input mechanism, and content available for viewing, and at least one processor configured to use software to process the data such that a configuration of content data is prepared for display and the configuration is derived from at least the interactions with the input mechanism and the configuration is designed to minimize additional user interactions with the input mechanism to select the prepared content data.

Abstract translation: 一种用于最小化与至少一个输入机制的交互的系统，包括至少一个可通信地耦合到至少一个用户端点设备的管理服务器，所述用户端点设备至少包括显示器，输入机制和应答器机构， 与所述输入机制和所显示内容的交互相关的至少一个存储设备，被配置为基于显示在显示器上的内容来存储数据，与所述输入机制的交互以及可用于观看的内容;以及至少一个处理器，被配置为使用软件 处理数据使得内容数据的配置被准备用于显示，并且从至少与输入机制的交互导出配置，并且配置被设计为最小化与输入机制的附加用户交互以选择准备的内容数据。

公开(公告)号：US08363729B1

公开(公告)日：2013-01-29

申请号：US12612836

申请日：2009-11-05

Applicant: Li Sha ,  Haohong Wang ,  Leung Chung Lai ,  Tzun Wei Lee

Inventor： Li Sha ,  Haohong Wang ,  Leung Chung Lai ,  Tzun Wei Lee

IPC: H04N7/26

CPC classification number: H04N19/18 ,  H04N19/1887 ,  H04N19/436 ,  H04N19/60 ,  H04N19/91

Abstract: Methods and systems for using a video data compression algorithm with parallel processing capability are provided. AC and DC coefficients associated with blocks of the video data, along with quantization errors, may be encoded using a variable length code. The quantization errors may be encoded using a scheme that assigns priorities to the quantization errors based on the position of their associated AC and/or DC coefficients in a block of the video data. The quantization errors may be appended to a bitstream in an order based on these priorities that enables parallel coding of the quantization errors and AC and DC coefficients in each block of video data. Data packing schemes may also be applied to the coded data to maximize the use of bandwidth resources in encoding and/or decoding.

公开(公告)号：US08036263B2

公开(公告)日：2011-10-11

申请号：US11317934

申请日：2005-12-23

Applicant: Haohong Wang ,  Narendranath Malayath ,  Suhail Jalil

Inventor： Haohong Wang ,  Narendranath Malayath ,  Suhail Jalil

IPC: H04N7/12

CPC classification number: G06F17/30802 ,  G06F17/30811 ,  G06F17/30814 ,  G06F17/30817 ,  G06F17/30843

Abstract: This disclosure describes identifying key frames from a sequence of video frames. A first set of information generated by operating on uncompressed data is accessed. A second set of information generated by compressing the data is also accessed. The first and second sets of information are used to identify key frames from the video frames.

Abstract translation: 本公开描述了从视频帧序列识别关键帧。 访问通过对未压缩数据进行操作生成的第一组信息。 还可以访问通过压缩数据生成的第二组信息。 第一和第二组信息用于识别来自视频帧的关键帧。

公开(公告)号：US20110069152A1

公开(公告)日：2011-03-24

申请号：US12585784

申请日：2009-09-24

Applicant: Haohong Wang ,  Glenn Adler

Inventor： Haohong Wang ,  Glenn Adler

IPC: H04N13/02

CPC classification number: G06T7/194 ,  G06T7/11 ,  G06T7/50 ,  G06T2207/10016 ,  G06T2207/10028 ,  G06T2207/20012 ,  H04N13/261

Abstract: A method for real-time 2D to 3D video conversion includes receiving a decoded 2D video frame having an original resolution, downscaling the decoded 2D video frame into an associated 2D video frame having a lower resolution, and segmenting objects present in the downscaled 2D video frame into background objects and foreground objects. The method also includes generating a background depth map and a foreground depth map for the downscaled 2D video frame based on the segmented background and foreground objects, and deriving a frame depth map in the original resolution based on the background depth map and the foreground depth map. The method further includes providing a 3D video frame for display at a real-time playback rate. The 3D video frame is generated in the original resolution based on the frame depth map.

Abstract translation: 一种用于实时2D到3D视频转换的方法包括接收具有原始分辨率的解码的2D视频帧，将解码的2D视频帧缩小成具有较低分辨率的相关联的2D视频帧，以及分割存在于缩小的2D视频帧中的对象 进入背景对象和前景对象。 该方法还包括基于分割的背景和前景对象生成用于缩小的2D视频帧的背景深度图和前景深度图，并且基于背景深度图和前景深度图导出原始分辨率中的帧深度图 。 该方法还包括提供用于以实时重放速率显示的3D视频帧。 基于帧深度图以原始分辨率生成3D视频帧。

公开(公告)号：US20080150945A1

公开(公告)日：2008-06-26

申请号：US11615393

申请日：2006-12-22

Applicant: Haohong Wang ,  Hsiang-Tsun Li ,  Sharath Manjunath

Inventor： Haohong Wang ,  Hsiang-Tsun Li ,  Sharath Manjunath

IPC: G06T15/10

CPC classification number: G06T7/50 ,  G06K9/20 ,  G06K2209/40 ,  G06T2207/10012 ,  H04N13/261 ,  H04N13/275

Abstract: Techniques for complexity-adaptive and automatic two-dimensional (2D) to three-dimensional (3D) image and video conversion which classifies a frame of a 2D input into one of a flat image class and a non-flat image class are described. The flat image class frame is directly converted into 3D stereo for display. The frame that is classified as a non-flat image class is further processed automatically and adaptively, based on complexity, to create a depth map estimate. Thereafter, the non-flat image class frame is converted into a 3D stereo image using the depth map estimate or an adjusted depth map. The adjusted depth map is processed based on the complexity.

Abstract translation: 描述了将2D输入的帧分成平面图像类和非平坦图像类之一的复杂度自适应和自动二维（2D）到三维（3D）图像和视频转换的技术。 平面图像类框架直接转换成3D立体声显示。 基于复杂度，被分类为非平面图像类的帧被自动地和自适应地进一步处理，以创建深度图估计。 此后，使用深度图估计或调整深度图将非平面图像类帧转换成3D立体图像。 调整后的深度图基于复杂度进行处理。

公开(公告)号：US20080031327A1

公开(公告)日：2008-02-07

申请号：US11497906

申请日：2006-08-01

Applicant: Haohong Wang ,  Hsiang-Tsun Li ,  Sharath Manjunath

Inventor： Haohong Wang ,  Hsiang-Tsun Li ,  Sharath Manjunath

IPC: H04N13/00 ,  H04N13/02 ,  H04N7/12 ,  H04B1/66

CPC classification number: H04N13/261 ,  G06T7/571 ,  G06T2207/10012 ,  H04N5/2226 ,  H04N5/23212 ,  H04N13/128 ,  H04N13/161 ,  H04N13/207 ,  H04N13/236 ,  H04N13/271 ,  H04N13/275

Abstract: A monoscopic low-power mobile device is capable of creating real-time stereo images and videos from a single captured view. The device uses statistics from an autofocusing process to create a block depth map of a single capture view. Artifacts in the block depth map are reduced and an image depth map is created. Stereo three-dimensional (3D) left and right views are created from the image depth map using a Z-buffer based 3D surface recover process and a disparity map which is a function of the geometry of binocular vision.

Abstract translation: 单视低功率移动设备能够从单个捕获的视图创建实时立体图像和视频。 该设备使用自动对焦过程的统计信息来创建单个捕获视图的块深度图。 减少块深度图中的人工制品，并创建图像深度图。 使用基于Z缓冲的3D表面恢复过程和作为双目视觉几何的函数的视差图，从图像深度图创建立体三维（3D）左视图和右视图。

公开(公告)号：US20070183663A1

公开(公告)日：2007-08-09

申请号：US11350376

申请日：2006-02-07

Applicant: Haohong Wang ,  Khaled El-Maleh

Inventor： Haohong Wang ,  Khaled El-Maleh

IPC: G06K9/34 ,  G06K9/46

CPC classification number: H04N19/17 ,  G06K9/00234 ,  G06K9/00248 ,  G06K9/00261 ,  G06K9/00604

Abstract: The disclosure is directed to techniques for automatic segmentation of a region-of-interest (ROI) video object from a video sequence. ROI object segmentation enables selected ROI or “foreground” objects of a video sequence that may be of interest to a viewer to be extracted from non-ROI or “background” areas of the video sequence. Examples of a ROI object are a human face or a head and shoulder area of a human body. The disclosed techniques include a hybrid technique that combines ROI feature detection, region segmentation, and background subtraction. In this way, the disclosed techniques may provide accurate foreground object generation and low-complexity extraction of the foreground object from the video sequence. A ROI object segmentation system may implement the techniques described herein. In addition, ROI object segmentation may be useful in a wide range of multimedia applications that utilize video sequences, such as video telephony applications and video surveillance applications.

Abstract translation: 本公开涉及用于从视频序列自动分割感兴趣区域（ROI）视频对象的技术。 ROI对象分割使得可以从视频序列的非ROI或“背景”区域中提取观看者感兴趣的视频序列的所选ROI或“前景”对象。 ROI对象的示例是人体的人脸或头肩部区域。 所公开的技术包括组合ROI特征检测，区域分割和背景减除的混合技术。 以这种方式，所公开的技术可以从视频序列提供前景对象生成和前景对象的低复杂度提取的准确性。 ROI对象分割系统可以实现本文描述的技术。 此外，ROI对象分割可能在使用诸如视频电话应用和视频监控应用之类的视频序列的多种多媒体应用中是有用的。