Samsung Electronics Co., Ltd.

Research & Industrial Cooperation Group

Jiyeun Kim

Youngsu Moon

Xuan Zhu

Yuan Yuan She

Kiwan Eom

Hyounggook Kim

Jungbae Kim

Sangkyun Kim

Doosun Hwang

Yongman Ro

Seungji Yang

Cheolkon Jung

Provided are device, method, and medium for generating an audio fingerprint and retrieving audio data. The device for generating an audio fingerprint includes: a coefficient extracting section partially decoding audio data in a compression area and extracting MDCT (Modified Discrete Cosine Transform) coefficients; a coefficient selecting section selecting an MDCT coefficient robust to noises from the extracted MDCT coefficients; a modulation spectrum generating section transforming the selected MDCT coefficient by the use of a Fourier transform method and generating a modulation spectrum; and a bit conversion section quantizing the generated modulation spectrum and generating an audio fingerprint. As a result, it is possible to accurately and rapidly retrieve the audio data recorded in a variety of environments. Since elements based on MP3 are used, it is possible to apply to MP3 applications in various manners. In addition, it is possible to apply to classification of audio data such as classification of music moods and classification of music genres and various other fields such as extraction of a specific event from moving images of sports.

Device, method, and medium for generating audio fingerprint and retrieving audio data

Provided are an apparatus, medium, and method segmenting video sequences based on a topic. The apparatus may include a start-shot determination unit detecting a plurality of key-frames by using character information from video sequences including a plurality of frames to determine the detected key-frames as start-shots for each topic, and a topic list creation unit creating a topic list by using the start-shots for each topic.

Apparatus, medium, and method segmenting video sequences based on topic

A person-based digital photo clustering method, medium, and apparatus and a person-based digital photo albuming method, medium, and apparatus. The clustering method may include detecting a face area from photo data, extracting predetermined content-based face feature value information from the detected face area, obtaining person-based photo clustering hint information, and performing person-based clustering by applying photo clustering hint information to the extracted content-based face feature value information. The person-based digital photo albuming method may include generating photo description information for identifying at least a photo, generating albuming tool description information supporting person-based photo clustering and including at least a parameter for person-based photo clustering, performing photo albuming including person-based clustering by using at least photo description information and albuming tool description information, generating predetermined photo group description information from photo albumed data, and generating predetermined photo album information by using photo description information and photo group description information.

Method, medium, and apparatus for person-based photo clustering in digital photo album, and person-based digital photo albuming method, medium, and apparatus

A method and apparatus for detecting text associated with video are provided. The method of detecting the text of the video includes reading a t-th frame (where t is a positive integer) among frames forming the video as a current frame, determining whether there is a text area detected from a previous frame which is a (t&#x2212;N)-th (where N is a positive integer) frame among the frames forming the video, in the current frame, and upon determining that there is no text area detected from the previous frame in the current frame, detecting the text area in the entire current frame. Upon determining that there is the text area detected from the previous frame in the current frame, the text area is detected from a remaining area obtained by excluding from the current frame an area corresponding to the text area detected from the previous frame. Whether there is a text area in a next frame which is a (t+N)-th frame among the frames forming the video is verified.

Method and apparatus for detecting text associated with video

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Seoul, South Korea

Jiyeun Kim