Fast Fast Fast C C C Ommercial Ommercial Ommercial D D D Etection Etection Etection Based Based Based on on on Audio Audio Audio Retrieval Retrieval Retrieval

نویسندگان

  • Dan Zhao
  • Xiangdong Wang
  • Yueliang Qian
  • Qun Liu
  • Shouxun Lin
چکیده

ABSTRACT Automatic detection of commercials in digital multimedia material is a challenging task with many applications. This paper presents a novel approach to fast commercial detection based on audio retrieval. It is based on the idea of segmenting energy envelope of audio into units, using only audio signal for matching on a commercial database. Fast searching and matching can be performed with high accuracy, by stepping from unit to unit instead of windowshifting searching and by novel similarity function based on units. Experimental results show that 96.8% recall rate and 98.7% precision rate can be achieved under 0.125 real-time. Index Index

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Histogram Algorithm for Fast Audio Retrieval

This paper describes a fast audio detection method for specific audio retrieval in the AV stream. The method is a histogram matching algorithm based on structural and perceptual features. This algorithm extracts audio features based on human perception on the sound scene and locates the special audio clip by fast histogram matching. Experimental results based on the advertisement detection in T...

متن کامل

Intelligent Content-Based Audio Classification and Retrieval for Web Applications

Content-based technology has emerged from the development of multimedia signal processing and wide spread of web application. In this chapter, we discuss the issues involved in the content-based audio classification and retrieval, including spoken document retrieval and music information retrieval. Further, along this direction, we conclude that the emerging audio ontology can be applied in fas...

متن کامل

Semantic Similarity for Music Retrieval

We present a query-by-example system for content-based music information retrieval by ranking items in a database based on semantic similarity, rather than acoustic similarity, to a query example. The retrieval system is based on semantic concept models that are learned from the CAL500 data set containing both audio examples and their text captions. Using the concept models, the audio tracks ar...

متن کامل

AN ENHANCED CONTENT-BASED VIDEO RETRIEVAL SYSTEM BASED ON QUERY CLIP T.N.SHANMUGAM and PRIYA RAJENDRAN

Content-based search and retrieval of video data has become a challenging and important issue. Video contains several types of audio and visual information which are difficult to extract, combine or trade-off in common video information retrieval. This research work is the enhanced version of our previous research with texture feature extraction. In this paper, we address the specific aspect of...

متن کامل

Prototyping a Vibrato-Aware Query-By-Humming (QBH) Music Information Retrieval System for Mobile Communication Devices: Case of Chromatic Harmonica

Background and Aim: The current research aims at prototyping query-by-humming music information retrieval systems for smart phones. Methods: This multi-method research follows simulation technique from mixed models of the operations research methodology, and the documentary research method, simultaneously. Two chromatic harmonica albums comprised the research population. To achieve the purpose ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008