International Business Machines Corporation

Yahoo! Inc.

Longbin Chen

Arun Hampapur

Rogerio Schmidt Feris

Yun Zhai

Lisa Marie Brown

Ziming Zhuang

A system comprises an input component, a feature extractor, an object classifier, an adaptation component and a calibration tool. The input component is configured to receive one or more images, and the feature extractor is configured to extract features for one or more objects in the one or more images, the extracted features comprising at least one view-independent feature. The object classifier is configured to classify the one or more objects based at least in part on the extracted features and one or more object classification parameters, and the adaptation component is configured to adjust the classification of at least one of the objects based on one or more contextual parameters. The calibration tool is configured to adjust one or more of the object classification parameters based on likelihoods for characteristics associated with one or more object classes.

Video object classification

Techniques for calibrating a classification system, wherein one or more objects in at least one video are classified, are provided. At least one view associated with the at least one video is obtained. The at least one view is partitioned into at least one region. A given object is classified in accordance with its location in reference to the at least one region. In an additional embodiment, one or more object models are obtained. At least one normalized size of the one or more objects is defined within at least one view associated with the at least one video in accordance with the one or more object models. The one or more objects are classified in accordance with the at least one defined normalized size.

Calibration of video object classification

In one embodiment, ranking search results generated in response to search queries comprises: receiving, a search query from a user; identifying a plurality of network contents in response to the search query; determining one or more ranking criteria for the search query; presenting the ranking criteria to the user; receiving from the user one or more weights assigned to one or more of the ranking criteria; ranking the identified network contents based on the ranking criteria and the weights; and presenting the network contents to the user in an order according to their ranking.

Presenting search results based on user-customizable criteria

Techniques for classifying one or more objects in at least one video, wherein the at least one video comprises a plurality of frames are provided. One or more objects in the plurality of frames are tracked. A level of deformation is computed for each of the one or more tracked objects in accordance with at least one change in a plurality of histograms of oriented gradients for a corresponding tracked object. Each of the one or more tracked objects is classified in accordance with the computed level of deformation.

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Sunnyvale, CA, United States of America

Longbin Chen