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Exploring the Benefits of Text and Sketch in Video Retrieval of Complex Queries

Published: 24 August 2015 Publication History

Abstract

The booming of mobile devices and networks leads to an explosive growth in video resources. Efficient video research styles are appealing for facilely exploring video content appropriate to user's intention with a low cognitive load. The style of input becomes particularly relevant during the process of finding a target video clip in a large-scale database on tablets or other mobile devices. Some users have strong allegiance to input text, while others only input sketches. In this paper, we present the first systematic comparison of these two input styles and analyze the responses and feedbacks of users. An elaborated user study was conducted to test two different styles of inputting the semantics. Some users preferred to text input because it could describe their objective easily in a short time, yet some users also liked sketch because it helped illustrate the action or orientation clearly and immediately. Combining text with sketch ("sketch-text") is efficient for searching video of complex queries. The evaluation results show users' enjoying "sketch-text" and its higher performance than other input styles.

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  1. Exploring the Benefits of Text and Sketch in Video Retrieval of Complex Queries

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    VINCI '15: Proceedings of the 8th International Symposium on Visual Information Communication and Interaction
    August 2015
    185 pages
    ISBN:9781450334822
    DOI:10.1145/2801040
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 24 August 2015

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    Author Tags

    1. Input Style
    2. Interactive Search
    3. Sketch
    4. Video Retrieval of Complex Queries

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    VINCI '15 Paper Acceptance Rate 12 of 32 submissions, 38%;
    Overall Acceptance Rate 71 of 193 submissions, 37%

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