1. A similar music search method, comprising: extracting an audio feature value from a music file by decoding only a select compressed portion of the music file of all compressed portions of the music file, wherein the select compressed portion includes the extracted audio feature value, extracting the audio feature from the decoded portion, and generating a music content summary using the extracted audio feature; classifying a mood and a genre of the music file using the generated music content summary; extracting a similarity feature for a similarity retrieval from the music content summary; storing information on the classified mood and genre and the extracted similarity feature information in a database; receiving a query music; detecting a mood and a genre of the query music; measuring a similarity between the query music and music files that are identical in the mood and the genre 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.
1. A similar music search method, comprising: extracting an audio feature value from a music file by decoding only a select compressed portion of the music file of all compressed portions of the music file, wherein the select compressed portion includes the extracted audio feature value, extracting the audio feature from the decoded portion, and generating a music content summary using the extracted audio feature; classifying a mood and a genre of the music file using the generated music content summary; extracting a similarity feature for a similarity retrieval from the music content summary; storing information on the classified mood and genre and the extracted similarity feature information in a database; receiving a query music; detecting a mood and a genre of the query music; measuring a similarity between the query music and music files that are identical in the mood and the genre 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. 3. The method of claim 1 , wherein the classifying a mood and a genre of the music file using the generated music content summary includes: extracting a modified discrete cosine transformation (MDCT)-based timbre feature from the music content summary; extracting an MDCT-based tempo feature from the music content summary; and classifying the mood and the genre of the music file based on the extracted timbre feature tempo feature.