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    • 2. 发明申请
    • FEATURE-BASED VIDEO COMPRESSION
    • 基于特征的视频压缩
    • WO2010042486A1
    • 2010-04-15
    • PCT/US2009/059653
    • 2009-10-06
    • EUCLID DISCOVERIES, LLCPACE, Charles, P.
    • PACE, Charles, P.
    • H04N7/26G06T7/00G06T7/20
    • H04N19/54G06T7/215G06T9/001H04N19/17H04N19/23H04N19/543
    • Systems and methods of processing video data are provided. Video data having a series of video frames is received and processed. One or more instances of a candidate feature are detected in the video frames. The previously decoded video frames are processed to identify potential matches of the candidate feature. When a substantial amount of portions of previously decoded video frames include instances of the candidate feature, the instances of the candidate feature are aggregated into a set. The candidate feature set is used to create a feature-based model. The feature-based model includes a model of deformation variation and a model of appearance variation of instances of the candidate feature. The feature-based model compression efficiency is compared with the conventional video compression efficiency.
    • 提供了处理视频数据的系统和方法。 接收并处理具有一系列视频帧的视频数据。 在视频帧中检测候选特征的一个或多个实例。 处理先前解码的视频帧以识别候选特征的潜在匹配。 当大量的先前解码的视频帧的部分包括候选特征的实例时,候选特征的实例被聚合成一组。 候选功能集用于创建基于特征的模型。 基于特征的模型包括变形变化模型和候选特征实例的外观变化模型。 将基于特征的模型压缩效率与传统的视频压缩效率进行比较。
    • 3. 发明申请
    • APPARATUS AND METHOD FOR PROCESSING VIDEO DATA
    • 用于处理视频数据的装置和方法
    • WO2007146102A2
    • 2007-12-21
    • PCT/US2007/013476
    • 2007-06-07
    • EUCLID DISCOVERIES, LLCPACE, Charles, Paul
    • PACE, Charles, Paul
    • G06T9/001H04N19/20H04N19/527H04N19/54H04N19/543H04N19/553
    • An apparatus and methods for processing video data are described. The invention provides a representation of video data that can be used to assess agreement between the data and a fitting model for a particular parameterization of the data. This allows the comparison of different parameterization techniques and the selection of the optimum one for continued video processing of the particular data. The representation can be utilized in intermediate form as part of a larger process or as a feedback mechanism for processing video data. When utilized in its intermediate form, the invention can be used in processes for storage, enhancement, refinement, feature extraction, compression, coding, and transmission of video data. The invention serves to extract salient information in a robust and efficient manner while addressing the problems typically associated with video data sources.
    • 描述了用于处理视频数据的设备和方法。 本发明提供了视频数据的表示,其可用于评估数据与用于数据的特定参数化的拟合模型之间的一致性。 这允许比较不同的参数化技术和选择最佳的用于连续视频处理特定数据的技术。 该表示可以以中间形式用作较大进程的一部分或用作处理视频数据的反馈机制。 当以其中间形式使用时,本发明可以用于视频数据的存储,增强,细化,特征提取,压缩,编码和传输的过程中。 本发明用于在解决典型地与视频数据源相关的问题的同时以强健且有效的方式提取显着信息。
    • 5. 发明申请
    • CONTEXT BASED VIDEO ENCODING AND DECODING
    • 基于语境的视频编码和解码
    • WO2013148002A3
    • 2013-12-19
    • PCT/US2013025123
    • 2013-02-07
    • EUCLID DISCOVERIES LLC
    • LEE NIGELPIZZORNI RENATODEFOREST DARINPACE CHARLES P
    • H04N7/26H04N7/36
    • H04N19/85H04N19/23H04N19/51
    • A model-based compression codec applies higher-level modeling to produce better predictions than can be found through conventional block-based motion estimation and compensation. Computer- vision-based feature and object detection algorithms identify regions of interest throughout the video datacube. The detected features and objects are modeled with a compact set of parameters, and similar feature/object instances are associated across frames. Associated features/objects are formed into tracks and related to specific blocks of video data to be encoded. The tracking information is used to produce model-based predictions for those blocks of data, enabling more efficient navigation of the prediction search space than is typically achievable through conventional motion estimation methods. A hybrid framework enables modeling of data at multiple fidelities and selects the appropriate level of modeling for each portion of video data.
    • 基于模型的压缩编解码器应用较高级别的建模以产生比通过传统的基于块的运动估计和补偿可以发现的更好的预测。 基于计算机视觉的特征和对象检测算法识别整个视频数据库中的感兴趣区域。 检测到的特征和对象用一组紧凑的参数建模,并且相似的特征/对象实例在帧之间相关联。 相关特征/对象被形成轨道并与要编码的视频数据的特定块有关。 跟踪信息用于为这些数据块产生基于模型的预测,使得能够比通常通过常规运动估计方法可实现的更有效地导航预测搜索空间。 混合框架可以对多个保真度的数据进行建模,并为视频数据的每个部分选择适当的建模级别。
    • 6. 发明申请
    • SYSTEMS AND METHODS FOR PROVIDING PERSONAL VIDEO SERVICES
    • 用于提供个人视频服务的系统和方法
    • WO2008091485A2
    • 2008-07-31
    • PCT/US2008/000092
    • 2008-01-04
    • EUCLID DISCOVERIES, LLCPACE, Charles, P.
    • PACE, Charles, P.
    • H04N7/157G06K9/00261G06K9/621H04N7/147H04N21/23412H04N21/4223H04N21/44012H04N21/4415H04N21/4532H04N21/4788
    • Systems and methods for processing video are provided. Video compression schemes are provided to reduce the number of bits required to store and transmit digital media in video conferencing or videoblogging applications. A photorealistic avatar representation of a video conference participant is created. The avatar representation can be based on portions of a video stream that depict the conference participant. A face detector is used to identify, track and classify the face. Object models including density, structure, deformation, appearance and illumination models are created based on the detected face. An object based video compression algorithm, which uses machine learning face detection techniques, creates the photorealistic avatar representation from parameters derived from the density, structure, deformation, appearance and illumination models.
    • 提供了用于处理视频的系统和方法。 提供视频压缩方案以减少在视频会议或视频记录应用中存储和传输数字媒体所需的位数。 创建视频会议参与者的照片写实化身表示。 化身表示可以基于描述会议参与者的视频流的部分。 人脸检测器用于识别,追踪和分类人脸。 基于检测到的脸部创建包括密度,结构,变形,外观和照明模型的对象模型。 基于对象的视频压缩算法使用机器学习脸部检测技术,通过从密度,结构,变形,外观和照明模型导出的参数创建照片写实化身表示。