Microsoft Technology Licensing, LLC

Ying-Qing Xu

Heung-Yeung Shum

Baining Guo

Yanyun Chen

Bo Zhang

Lin Liang

Michael F Cohen

Hua Zhong

Shipeng Li

Jue Wang

Tao Mei

Fang Wen

Zheng Chen

Bo Liu

Ya-Qin Zhang

Barn-Wan Li

Eyal Ofek

Peng Xu

Ji-Rong Wen

Hong Yu Chen

Stephen S Lin

Jian-Tao Sun

Zaiqing Nie

Ning Zhang

Gang Luo

Yong Cao

Xiaojiang Liu

Ruochi Zhang

Yunxiao Ma

Jinfeng Zhuang

Jian Qiao Sun

Sing Bing Kang

Steven Mark Drucker

Billy P Chen

Ying Li

Benyu Zhang

Li Erran Li

Hua-Jun Zeng

Matthew Uyttendaele

Xu Yang

Bo Thiesson

Li-Yi Wei

Tarek Najm

Johannes P Kopf

Yin Li

David P Vronay

Wen-Yin Liu

Qing Luan

Xin Zou

Xiao-Ou Tang

Qi Ren

Litian Tao

Shuzhen Nong

Baoquan Liu

Mizuki Oka

Bill P Chen

Mengcheng Huang

Dean Carignan

Xuejin Chen

Chenyu Wu

Yayun Chen

Steve Lin

Chi-Yi Cheng

The automated social networking graph mining and visualization technique described herein mines social connections and allows creation of a social networking graph from general (not necessarily social-application specific) Web pages. The technique uses the distances between a person's/entity's name and related people's/entities names on one or more Web pages to determine connections between people/entities and the strengths of the connections. In one embodiment, the technique lays out these connections, and then clusters them, in a 2-D layout of a social networking graph that represents the Web connection strengths among the related people's or entities' names, by using a force-directed model.

Automated networking graph mining and visualization

Multiple schemes and techniques for facilitating presentations with an interactive application are described. For example, an interactive application provides a console view overlay for integrating multiple productivity applications into a graphical user interface (GUI) window. An interactive application can also share a selected display portion of the console view overlay with other interactive applications. As another example, presenters and other audience members can draw on the selected display portion being shared, and the drawn graphics are synchronously displayed by the other interactive applications. Interactive applications, as directed by their users, can join various member groups and specific presentations thereof. Moreover, a user may share content in accordance with membership grouping.

Presentation facilitation

Automated social networking graph mining and visualization

A user behavior model provides personalized recommendations based in part on time and location, particularly to users of mobile devices. Entity types are ranked according to relevance to the user. Example entity types are restaurant, hotel, etc. The relevance may be based on reference to a large-scale database containing queries from other users. Additionally, entities within each entity type may be ranked based on relevance to the user and the time and location context. A user interface may display a ranked list of entity types, such as restaurant, hotel, etc., wherein each entity type is represented by a highest-ranked entity with the entity type. Thus, the user interface may display a highest-ranked restaurant, a highest-ranked hotel, etc. Upon user selection of one such entity type the user interface is replaced with a second user interface, for example showing a ranked hierarchy of restaurants, headed by the highest-ranked restaurant.

User behavior model for contextual personalized recommendation

A video sharing system is described to annotate and navigate tourist videos. An example video sharing system enables non-linear browsing of multiple videos and enriches the browsing experience with contextual and geographic information.

City scene video sharing on digital maps

Techniques for generating a personalized cartoon by using a few text queries are described herein. The present disclosure describes efficiently searching multiple images from a network, obtaining clipart image from the multiple images, and vectorization of the clipart image. The present disclosure also describes techniques to change a style of the cartoon such as recoloring one or more cartoon objects.

Clipart cartoon techniques

Embodiments that provide cartoon personalization are disclosed. In accordance with one embodiment, cartoon personalization includes selecting a face image having a pose orientation that substantially matches an original pose orientation of a character in a cartoon image. The method also includes replacing a face of the character in the cartoon image with the face image. The method further includes blending the face image with a remainder of the character in the cartoon image.

Cartoon personalization

A user may perform an image search on an object shown in an image. The user may use a mobile device to display an image. In response to displaying the image, the client device may send the image to a visual search system for image segmentation. Upon receiving a segmented image from the visual search system, the client device may display the segmented image to the user who may select one or more segments including an object of interest to instantiate a search. The visual search system may formulate a search query based on the one or more selected segments and perform a search using the search query. The visual search system may then return search results to the client device for display to the user.

Gesture-based visual search

Various embodiments provide techniques for calibrating and annotating video content. In one or more embodiments, an instance of video content can be calibrated with one or more geographical models and/or existing calibrated video content to correlate the instance of video content with one or more geographical locations. According to some embodiments, geographical information can be used to annotate the video content. Geographical information can include identification information for one or more structures, natural features, and/or locations included in the video content. Some embodiments enable a particular instance of video content to be correlated with other instances of video content based on common geographical information and/or common annotation information. Thus, a user can access video content from other users with similar travel experiences and/or interests. A user may also access annotations provided by other users that may be relevant to a particular instance of video content.

Calibration and annotation of video content

A face cartooning system is described. In one implementation, the system generates an attractive cartoon face or graphic of a user's facial image. The system extracts facial features separately and applies pixel-based techniques customized to each facial feature. The style of cartoon face achieved resembles the likeness of the user more than cartoons generated by conventional vector-based cartooning techniques. The cartoon faces thus achieved provide an attractive facial appearance and thus have wide applicability in art, gaming, and messaging applications in which a pleasing degree of realism is desirable without exaggerated comedy or caricature.

Cartoon face generation

According to embodiments of the invention, an advertisement-generation system generates image-containing advertisements. The advertisement-generation system includes: at least one feature-selection guideline that specifies at least one recommended feature for image-containing advertisements based on advertiser inputs that specify at least one of advertisement-target-audience information, cost information, and advertiser-industry information; an image-clip library from which images are selected for inclusion in the image-containing advertisements; and at least one advertisement template that is based on the at least one feature-selection guideline; wherein the system automatically generates image-containing advertisements that contain one or more suggested colors that are automatically suggested based on one or more colors present on a web page that will host the image-containing advertisement.

Generation of contextual image-containing advertisements

A non-linear beam tracing technique that supports full non-linear beam tracing effects including multiple reflections and refractions for computer graphics applications. The technique introduces non-linear beam tracing to render non-linear ray tracing effects such as curved mirror reflection, refraction, caustics, and shadows. Beams are allowed to be non-linear where rays within the same beam are not parallel or do not intersect at a single point. Such is the case when a primary beam bounces off of a surface and spawns one or more secondary rays or beams. Secondary beams can be rendered in a similar manner to primary rays or beams via polygon streaming. Beyond smooth ray bundles, the technique can also be applied to incoherent ray bundles which is useful for rendering bump mapped surfaces.

Non-linear beam tracing for computer graphics

Growing community of inventors

Beijing, China

Ying-Qing Xu