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Mining Actor Correlations with Hierarchical Concurrence Pasring

Date post: 16-Feb-2016
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Reporters: R98922004 Yun-Nung Chen, R98922033 Yu-Cheng Liu. Mining Actor Correlations with Hierarchical Concurrence Pasring. Reference. Ming Actor Correlations with Hierarchical Concurrence Parsing (ICASSP 2010) - PowerPoint PPT Presentation
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Mining Actor Correlations with Hierarchical Concurrence Pasring Reporters: R98922004 Yun-Nung Chen, R98922033 Yu- Cheng Liu
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Page 1: Mining Actor Correlations with Hierarchical Concurrence  Pasring

Mining Actor Correlations with Hierarchical Concurrence Pasring

Reporters: R98922004 Yun-Nung Chen, R98922033 Yu-Cheng Liu

Page 2: Mining Actor Correlations with Hierarchical Concurrence  Pasring

Reference

Ming Actor Correlations with Hierarchical Concurrence Parsing (ICASSP 2010) Kun Yuan, Hongxun Yao, Rongrong Ji,

Xiaoshuai Sun Computer Science & Technology, Harbin

Institute of Technology

Page 3: Mining Actor Correlations with Hierarchical Concurrence  Pasring

Outline

Introduction Actor Indexing Mining Actor Correlations

Context-Based Actor Concurrence Graph Ranking Concurrent Shots Actor Correlation Changes Analysis

Experimental Results

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Introduction

Actor correlations graph interfaces

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Introduction

Actor correlations graph interfaces

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Introduction

Actor correlations graph interfaces Top 20 shots

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Overview

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Actor Indexing

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Locating Actors

Shot boundary detection (SBD) Shots and scenes

Locating actor faces & face tracking algorithm Face set: different poses from the same

actor

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Clustering Actors

2D-PCA reduces dimension Features of same person may

distribute discretely in feature space Given 2 face sets Fk and Fl, 2 pose sets

If distance < T, 2 face sets belong to the same person

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Clustering Actors

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Mining Actor Correlations

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Context-Based Actor Concurrence A shot and its surrounding shots may

present a plot between two actors in video Gaussian weight measurement

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Context-Based Actor Concurrence

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Hierarchical Concurrence

Scene level correlation

Video level correlation

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Hierarchical Concurrence

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All Actor correlations graph

Construct correlations graph from

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Ranking Concurrent Shots

A single character i

Character correlations between i and j

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Ranking Concurrent Shots

Given i, j, sort RankScore<i, j>(k) for all k Show top 20 shots

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Actor Correlation Changes Analysis Two actors’ correlation changes with

story Analyze the difference of concurrence

R(i, j)A

correlation measure between i and j in the part A

Change ratio Hlp

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Experimental Results

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Experiment Setup

20 hours video of “Friends” TV series About 4000 shots Over 800 face sets

Clustering into about 60 face sets (T = 0.25)

Manual labeling to 17 actors

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Evaluation

The actor concurrence precision in all ranking shots is up to 90%

The precision of each two actor’s co-occurrence in ranking top 20 is up to 98%

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Thanks for your attention.


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