Samsung Electronics Co., Ltd.

Hyoung Gook Kim

Ki Wan Eom

Ji Yeun Kim

Jung Eun Kim

Xuan Zhu

Jae Won Lee

Jeong Mi Cho

Yuan Yuan She

Young Su Moon

Jin Guk Jeong

Yuan Shi

Ji Yuen Kim

An audio information retrieval method, medium, and system that can rapidly retrieve audio information, even in noisy environments, by extracting a modulation spectrum that is robust against noise, converting features of the extracted modulation spectrum into hash bits, and using a hash table. The audio information retrieval method may include extracting a modulation spectrum from audio data of a compressed domain, converting the extracted modulation spectrum into fingerprint bits, arranging the fingerprint bits in a form of a hash table, converting a received query into an address by a hash function corresponding to the query, and retrieving the audio information by referring to the hash table.

Method, medium, and system for music retrieval using modulation spectrum

A method, medium, and system generating a video abstract with high processing speeds, may include a detecting of an event candidate section from video data, based on audio information, a detecting of shot change information from the detected event candidate section, a detecting of final event sections from the detected event candidate section, based on the detected shot change information and visual information, and a generating of video abstract information by merging the extracted final event sections.

Method, medium, and system generating video abstract information

A personalized service method using a user history in a mobile terminal is provided. The personalized service method using the user history in the mobile terminal includes: checking at least one of event information and context information which occurred due to a user; checking a user's location, a user's condition, a user's emotional state, or an event occurrence time when the at least one of event information and context information occur; reflecting the user's location, the user's condition, the user's emotional state, or the event occurrence time in the at least one of event information and context information, and recording the at least one of event information and context information, having reflected the user's location, the user's condition, the user's emotional state, or the event occurrence time, in a database in a diary type; and displaying a representing image corresponding to the at least one of event information and context information, having been recorded in the diary type.

Personalized service method using user history in mobile terminal and system using the method

A music recommendation method and a music recommendation system are provided. The music recommendation method includes: selecting music files according to a theme of the message service and music, a mood of the music, a similarity between content of the message service and content of the music; and recommending selected music files to a user.

Music recommendation method with respect to message service

A photo recommendation method using a mood of music is provided. The photo recommendation method using the mood of the music includes: categorizing the music into a mood by analyzing a sound source of the music; searching for a photo using meta information of the music; and recommending the photo corresponding to the categorized mood of the music according to a result of the searching.

Photo recommendation method using mood of music and system thereof

A method, medium, and system classifying a music theme for music by using a corresponding music title, by generating a theme class vector in association with the music theme, generating a music title class vector in association with the music title, calculating similarity between the theme class vector and the music title class vector, and assigning a theme of the music title based on the similarity.

Method, medium, and system classifying music themes using music titles

A system for playing music is provided. The system includes: a mood categorizer categorizing a mood of a music file; a similar music search module searching for similar music having a mood similar to music which a user desires by referring to the categorized mood; a highlight detector detecting a highlight section of the music file; and a theme categorizer categorizing a theme of the music file.

System for playing music and method thereof

A method of generating caption abstract, including: generating a target text from a predetermined caption, analyzing a morpheme of a word included in the target text, and analyzing a grammatical structure of the target text by referring to the morpheme; extracting and removing low content words from the target text by using the morpheme or information on the grammatical structure and determining a main predicate; extracting a major sentence component with respect to the main predicate by referring to the information on the grammatical structure, as a candidate abstract word; substituting a relevant word for a complex noun phrase or a predicate phrase from the candidate abstract words by referring to a predetermined database; and generating an abstract by rearranging the candidate abstract words according to a predetermined rule.

Data summarization method and apparatus

A similar music search method, including: extracting an audio feature value from a compression zone of a music file and generating a music content summary using the extracted audio feature; classifying a mood and a genre of the music file by using the generated music content summary; extracting a similarity feature for a similarity retrieval from the music content summary; storing an information on the classified mood and a genre and the extracted similarity feature information in a database; receiving a query music; detecting the mood and the genre of the query music; measuring a similarity between the query music and music files having a mood and a genre identical to the query music by referring to the database; and retrieving the similar music with respect to the query music based on the measured similarity.

Similar music search method and apparatus using music content summary

A method and apparatus for classifying mood of music at high speed. The method includes: extracting a Modified Discrete Cosine Transformation-based timbre feature from a compressed domain of a music file; extracting a Modified Discrete Cosine Transformation-based tempo feature from the compressed domain of the music file; and classifying the mood of the music file based on the extracted timbre feature and the extracted tempo feature.

Method and apparatus for classifying mood of music at high speed

Embodiments of the present invention relate to a method, medium, and system for summarizing music. The method includes summarizing a music content by extracting an audio feature value from a compressed segment of music data, tracking change points of the music content using the extracted audio feature value and re-configuring segments, selecting a fixed length fragment from each of the reconfigured segments and clustering the selected fragment so as to measure similarity and redundancy between the respective segments, and generating a summary of the music content using a segment selected based on the measured similarity and redundancy between the respective segments.

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Yongin-si, South Korea

Hyoung Gook Kim