Tcl Research America Inc.

Yimin Yang

Haohong Wang

Xiaobo Ren

Liang Leon Peng

A video retrieval method is provided. The method includes dividing video sequences stored in a video database into a plurality of video frames, extracting by a predetermined feature extracting algorithm a plurality of selected fingerprints from the plurality of video frames representing features having characteristic information specific to the plurality of video frames, and storing the plurality of extracted selected fingerprints in a fingerprint database. The method also includes receiving a query video sequence submitted by a user, extracting by the predetermined feature extracting algorithm at least one query fingerprint representing at least one query frame from the received query video sequence, and calculating similarity between the query fingerprint and the selected fingerprints from the fingerprint database to search for a match for the query fingerprint. Further, the method includes determining a matching fingerprint in the selected fingerprints by applying a fast dynamic programming algorithm and generating a matching result.

Video retrieval based on optimized selected fingerprints

A method for video program recognition includes recording video sequences of each of a plurality of channels and obtaining a set of features of an image captured by a user device. The method also includes performing a camera registration operation on the video sequences to select video frames representing the recorded video sequences based on key video frames from a registered cameras associated with the recorded video sequences. Further, the method includes extracting features of at least some of the selected plurality of video frames of each channel, storing the extracted features, and comparing the obtained set of features with the stored features of each channel to determine whether there is a match between the obtained set of features of the image and features of a video frame from a specific channel and, when there is a match, determining the specific channel as a recognized channel number.

System and method for video program recognition

A video object retrieval method is provided. The method includes dividing an input video into a number of video shots and detecting target-class object occurrences and related-class object occurrences in each video shot. The method also includes pre-processing object bounding box images and performing automatic object extraction. Further, the method includes performing object-level feature extraction and integration and generating visual search results based on similarity scores.

Video object retrieval system and method

An automatic face annotation method is provided. The method includes dividing an input video into different sets of frames, extracting temporal and spatial information by employing camera take and shot boundary detection algorithms on the different sets of frames, and collecting weakly labeled data by crawling weakly labeled face images from social networks. The method also includes applying face detection together with an iterative refinement clustering algorithm to remove noise of the collected weakly labeled data, generating a labeled database containing refined labeled images, finding and labeling exact frames containing one or more face images in the input video matching any of the refined labeled images based on the labeled database, labeling remaining unlabeled face tracks in the input video by a semi-supervised learning algorithm to annotate the face images in the input video, and outputting the input video containing the annotated face images.

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San Jose, CA, United States of America

Yimin Yang