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Annotating images

A technology for annotating images and images, applied in still image data retrieval, metadata still image retrieval, instruments, etc., can solve problems such as limited applicability

Active Publication Date: 2013-03-06
GOOGLE LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This often results in search results of limited applicability

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Embodiment Construction

[0032] Automatically assigning keywords to images allows retrieval, indexing, organization, and understanding of large image data collections. This specification describes techniques for image annotation that treat annotation as a retrieval problem. The described technique utilizes a simple combination of low-level image features and basic distance measures to find the nearest neighbors for a given image. Keywords are then assigned using a greedy label transfer mechanism.

[0033] Image annotation is a difficult task for two main reasons: First, there is a pixel-to-predicate or semantic gap problem where only low-level image features such as color and texture are used to extract Semantically meaningful entities are difficult. Reliably and unambiguously identifying thousands of objects or classes is currently an unsolved problem. The second difficulty arises from the lack of correspondence between image regions and keywords in the training data. For each image, the keywords...

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Abstract

Methods, systems, and apparatus, including computer program products, for generating data for annotating images automatically. In one aspect, a method includes receiving an input image, identifying one or more nearest neighbor images of the input image from among a collection of images, in which each of the one or more nearest neighbor images is associated with a respective one or more image labels, assigning a plurality of image labels to the input image, in which the plurality of image labels are selected from the image labels associated with the one or more nearest neighbor images, and storing in a data repository the input image having the assigned plurality of image labels. In another aspect, a method includes assigning a single image label to the input image, in which the single image label is selected from labels associated with multiple ranked nearest neighbor images.

Description

[0001] Cross References to Related Applications [0002] This application claims the benefit under 35 U.S.C. §119(e) of U.S. Patent Application No. 61 / 059,702, filed June 6, 2008, entitled "Annotated Images," which is hereby incorporated by reference in its entirety merge. technical field [0003] This specification relates to image annotation. Background technique [0004] Text-based image annotation remains an important practice as well as a fundamental problem in the computer vision and information retrieval communities. From a practical perspective, current image search solutions fail to leverage image content effectively for image search. This often results in search results of limited applicability. [0005] Given an input image, the goal of automatic image annotation is to assign to an image several relevant textual keywords (also called labels) that reflect the visual content of the image. Keywords can be stored in any of a variety of ways as metadata in, for exa...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30G06V10/40
CPCG06F17/30265G06K9/00664G06K9/46G06F17/241G06F16/58G06V20/10G06V10/40G06V20/70G06F17/40G06F40/169
Inventor 阿米什·马卡迪亚桑吉夫·库马尔
Owner GOOGLE LLC