Publication

Linking Objects in Videos by Importance Sampling

2002
Conference Papers

Abstract

We present an approach to create hyper-links between video segments that contain objects of interest, based on video structuring, object definition, and stochastic object localization in the video structure. Localization is formulated in the Metric Mixture model framework, which allows for the joint probabilistic modeling of a (user-defined) set of color appearance exemplars and their geometric transformations. Candidate object configurations are drawn from a prior distribution using importance sampling -which guides the search towards regions of the configuration space likely to contain the correct object configuration, thus avoiding exhaustive processing- and evaluated using Bayes' rule. Results of linking real objects (with changes of size and pose) in several home videos illustrate the performance of the method.

Official source

https://infoscience.epfl.ch/entities/publication/83dc7ea0-e5d0-4d98-85e3-d688918ce9cb

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

2002
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/83dc7ea0-e5d0-4d98-85e3-d688918ce9cb

About this result

Related concepts (32)

Nonprobability sampling

Sampling is the use of a subset of the population to represent the whole population or to inform about (social) processes that are meaningful beyond the particular cases, individuals or sites studied. Probability sampling, or random sampling, is a sampling technique in which the probability of getting any particular sample may be calculated. In cases where external validity is not of critical importance to the study's goals or purpose, researchers might prefer to use nonprobability sampling.

Stratified sampling

In statistics, stratified sampling is a method of sampling from a population which can be partitioned into subpopulations. In statistical surveys, when subpopulations within an overall population vary, it could be advantageous to sample each subpopulation (stratum) independently. Stratification is the process of dividing members of the population into homogeneous subgroups before sampling. The strata should define a partition of the population.

Music video

A music video, sometimes abbreviated to MV or M/V, is a video that integrates a song or an album with imagery that is produced for promotional or musical artistic purposes. Modern music videos are primarily made and used as a music marketing device intended to promote the sale of music recordings. These videos are typically shown on music television and on streaming video sites like YouTube, or more rarely shown theatrically. They can be commercially issued on home video, either as video albums or video singles.