Google Inc.

Roland Peter Kehl

Gokhan Hasan Bakir

Ibrahim Badr

Daniel Cotting

Nils Grimsmo

Matthias Heiler

Adrian Zumbrunnen

Masoud Loghmani

Thomas Jonathan Stone

Andrea Martinelli

Bernhard Rudolf Suter

Dan Filimon

Boris Bluntschli

Pawel Zuczek

Kaan Yücer

Wojciech Stanislaw Smietanka

Krzysztof Sikora

Kaan Yucer

Martin Stefcek

Karl Johann Schmidt

Masoud S Loghmani

Pawel Zucker

A second video may be overlaid on or inserted in a first video in a non-obstructive manner. A location for the second video within the first video may be determined based on analyzing non-essential locations in sequential frames in the first video. The second video may be selected from a plurality of candidate videos based on parameters of the second video, such as size, duration, context, etc. Accordingly, the second video may be displayed simultaneously with the first video by nesting the second video within the first video, while providing a streamlined viewing experience and minimizing distraction.

System and method for video on video overlay

This disclosure relates to digital video analysis. In one aspect, a method includes providing a user interface that enables a user of the computing system to select one or more seed video groups and one or more keywords, wherein each seed video group comprises one or more videos. The user interface is updated to provide candidate video groups selected based on the one or more seed video groups and the one or more keywords and, for each candidate video group, a first user interface control that enables the user to refine the set of candidate video groups to include video groups classified as being similar to the candidate video group. Data indicating user interaction with a given first user interface control for a first candidate video group is received. The user interface is updated to provide an updated set of candidate video groups.

User interfaces for refining video group packages

This disclosure relates to digital video analysis. In one aspect, a method includes receiving data indicating one or more seed video groups that each include one or more seed videos. Data indicating one or more keywords is received. A set of candidate video groups that each include one or more candidate videos is identifier. For each candidate video group in the set of candidate video groups a co-interaction score and a topicality score are determined. A subset of the candidate videos groups is selected based on the co-interaction score and the topicality score of each candidate video group. Data indicating the subset of candidate video groups is provided for presentation.

Digital video analysis

Methods, systems, and apparatus for recognizing objects and providing content related to the recognized objects are described. In one aspect, a method includes detecting presence of one or more objects depicted in a viewfinder of a camera of the mobile device. In response to detecting the presence of the one or more objects, image data representing the one or more objects is sent to a content distribution system that selects content related to objects depicted in images. A location of each of the one or more objects in the viewfinder of the camera is tracked while waiting to receive content from the content distribution system. Content related to the one or more objects is received from the content distribution system. A current location of each object in the viewfinder is determined and the content related to the object is presented within the viewfinder at the current location of the object.

Real time object detection and tracking

Methods, systems, and apparatus for controlling smart devices are described. In one aspect a method includes receiving image data for an image captured by a camera of a mobile device of a user and determining that the image depicts at least one of a smart device or a physical control for the smart device. In response to determining that that the image depicts a smart device or a physical control for the smart device, identifying one or more user interface controls for controlling the smart device, and generating and presenting, at a display of the mobile device, the one or more user interface controls for controlling the smart device. The method can further include detecting, at the display of the mobile device, user interaction with at least one of the one or more user interface controls, and controlling the smart device based on the detected user interaction.

Identifying and controlling smart devices

A system and method for generating a road network based on satellite imagery. Plural pixels corresponding to satellite imagery of a region are obtained. For each of the plural pixels, a probability value corresponding to the probability that the pixel belongs within the road network is calculated. A grayscale image is formed based on the calculated probability values. Plural curves are produced based on the grayscale image, wherein the producing of each curve includes positioning a shape on the grayscale image so that an average intensity of the grayscale image covered by the shape exceeds a preset threshold, moving the shape about the grayscale image while the average intensity is maintained, and tracking the movement of the shape to produce the curve. A planar-connected graph is generated by connecting at least portions of the plural curves. The planar-connected graph corresponds to the road network.

Generating a road network based on satellite imagery

Aspects of the disclosure relate generally to systems and methods for geographically locating images. For example, images from different sources may be associated with different types of location information or simply none at all. In order to reduce inconsistency among images, location information may be gathered for an image using bitmap processing, metadata processing, and information retrieved from where the image was found. This location information can be filtered to remove less reliable or conflicting information. Images may be clustered based on their appearance on an interactive online resource that corresponds to a user-defined event, based on image similarity, and by their appearance in a user photo album. The location information of the images of a cluster is then copied to all of the other images of that cluster.

Geographically locating and posing images in a large-scale image repository and processing framework

A system and method for processing a satellite image to determine a terrain boundary. Pixel data corresponding to a satellite image is obtained. For each pixel within a subset of the pixel data, multiple image features are determined corresponding to texture and color statistics for the pixel and neighboring pixels, based on a feature selection process for selecting discriminative features. An initial set of rules is generated for determining a terrain boundary. Plural image models for applying to the pixel data are created based on the initial set of rules. The plural image models are applied to the pixel data to generate at least one probability map, which represents output of the plural image models and corresponds to different terrains within the satellite image. A binary label mask is generated for the satellite image based on the probability map, and mask indicates segmentations corresponding to the different terrains.

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Gachnang, Switzerland

Roland Peter Kehl