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    • 6. 发明申请
    • LEARNING-BASED IMAGE COMPRESSION
    • 基于学习的图像压缩
    • WO2009033119A1
    • 2009-03-12
    • PCT/US2008/075522
    • 2008-09-06
    • MICROSOFT CORPORATION
    • SUN, XiaoyanWU, FengLI, Shipeng
    • G06T9/00
    • H04N19/59H04N19/132H04N19/14H04N19/587H04N19/85H04N19/90
    • Learning-based image compression is described. In one implementation, an encoder possessing a first set of learned visual knowledge primitives excludes visual information from an image prior to compression. A decoder possessing an independently learned set of visual knowledge primitives synthesizes the excluded visual information into the image after decompression. The encoder and decoder are decoupled with respect to the information excluded at the encoder and the information synthesized at the decoder. This results in superior data compression since the information excluded at the encoder is dropped completely and not transferred to the decoder. Primitive visual elements synthesized at the decoder may be different than primitive visual elements dropped at the encoder, but the resulting reconstituted image is perceptually equivalent to the original image.
    • 描述基于学习的图像压缩。 在一个实现中,具有第一组学习视觉知识原语的编码器在压缩之前从图像中排除视觉信息。 具有独立学习的视觉知识图元组的解码器在解压缩之后将排除的视觉信息合成到图像中。 编码器和解码器相对于在编码器处排除的信息和在解码器处合成的信息去耦合。 这导致优异的数据压缩,因为在编码器处排除的信息完全丢弃并且不传送到解码器。 在解码器处合成的原始视觉元素可能不同于在编码器处丢弃的原始视觉元素,但是所产生的重构图像在听觉上等同于原始图像。
    • 7. 发明申请
    • REQUEST BITS ESTIMATION FOR A WYNER-ZIV CODEC
    • 一个WYNER-ZIV编解码器的请求位估计
    • WO2008042782A1
    • 2008-04-10
    • PCT/US2007/079909
    • 2007-09-28
    • MICROSOFT CORPORATION
    • LU, YanGUO, MeiWU, FengLI, Shipeng
    • H03M7/30
    • H03M7/30H04N19/395
    • Request bits estimation for a Wyner-Ziv codec is described. In one aspect, and prior to communicating Wyner-Ziv parity bits to a Wyner-Ziv decoder, an estimated total number of parity bits to send to the Wyner-Ziv decoder are determined. This estimated number of parity bits allows the Wyner-Ziv decoder to reconstruct a frame of different coded content using the Wyner-Ziv parity bits such that the reconstructed frame will meet particular quality criteria. This estimated number of parity bits is determined independent of a request-bits feedback loop between the Wyner-Ziv coder and the Wyner-Ziv decoder. The estimated number of parity bits is communicated to the Wyner-Ziv decoder for reconstruction and presentation of the frame to a user.
    • 描述了Wyner-Ziv编解码器的请求比特估计。 在一个方面中,并且在将Wyner-Ziv奇偶校验位传送到Wyner-Ziv解码器之前,确定要向Wyner-Ziv解码器发送的奇偶校验位的估计总数。 该估计的奇偶校验位数允许Wyner-Ziv解码器使用Wyner-Ziv奇偶校验位来重建不同编码内容的帧,使得重构的帧将满足特定的质量标准。 独立于Wyner-Ziv编码器和Wyner-Ziv解码器之间的请求比特反馈回路来确定该估计数量的奇偶校验位。 将估计的奇偶校验位数传送给Wyner-Ziv解码器,以重建并向用户呈现帧。
    • 10. 发明申请
    • ENRICHING ONLINE VIDEOS BY CONTENT DETECTION, SEARCHING, AND INFORMATION AGGREGATION
    • 通过内容检测,搜索和信息聚合增强在线视频
    • WO2011139448A2
    • 2011-11-10
    • PCT/US2011/031046
    • 2011-04-04
    • MICROSOFT CORPORATION
    • MEI, TaoHUA, Xian-ShengLI, Shipeng
    • G06Q50/00H04N21/236
    • G06K9/00751G06F17/30017G06F17/30828G06K9/00765G06Q30/02H04N21/4622H04N21/4722
    • Many internet users consume content through online videos. For example, users may view movies, television shows, music videos, and/or homemade videos. It may be advantageous to provide additional information to users consuming the online videos. Unfortunately, many current techniques may be unable to provide additional information relevant to the online videos from outside sources. Accordingly, one or more systems and/or techniques for determining a set of additional information relevant to an online video are disclosed herein. In particular, visual, textual, audio, and/or other features may be extracted from an online video (e.g., original content of the online video and/or embedded advertisements). Using the extracted features, additional information (e.g., images, advertisements, etc.) may be determined based upon matching the extracted features with content of a database. The additional information may be presented to a user consuming the online video.
    • 许多互联网用户通过在线视频消费内容。 例如,用户可以观看电影,电视节目,音乐视频和/或自制视频。 向消费在线视频的用户提供附加信息可能是有利的。 不幸的是,许多当前的技术可能无法提供与来自外部来源的在线视频相关的附加信息。 因此,本文公开了用于确定与在线视频相关的一组附加信息的一个或多个系统和/或技术。 特别地,可以从在线视频(例如,在线视频和/或嵌入式广告的原始内容)提取视觉,文本,音频和/或其他特征。 使用所提取的特征,可以基于将所提取的特征与数据库的内容相匹配来确定附加信息(例如,图像,广告等)。 附加信息可以被呈现给使用在线视频的用户。