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ebla_1.0.jar 2014-12-26 4.5 MB 0
readme.txt 2014-12-26 10.4 kB 0
manual.pdf 2014-12-26 743.9 kB 0
Totals: 3 Items   5.2 MB
============================================================================== ReadMe file for the Experience-Based Language Acquisition (EBLA) system. ============================================================================== $Id: readme.txt,v 1.20 2014/12/26 22:10:25 yoda2 Exp $ ============================================================================== LICENSE ============================================================================== Copyright (c) 2002-2014, Brian E. Pangburn All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. The names of its contributors may not be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ============================================================================== DESCRIPTION ============================================================================== EBLA is an open computational framework for visual perception and grounded language acquisition. EBLA can watch a series of short videos and acquire a simple language of nouns and verbs corresponding to the objects and object-object relations in those videos. Upon acquiring this protolanguage, EBLA can perform basic scene analysis to generate descriptions of novel videos. The general architecture of EBLA is comprised of three stages: vision processing, entity extraction, and lexical resolution. In the vision processing stage, EBLA processes the individual frames in short videos, using a variation of the mean shift analysis image segmentation algorithm to identify and store information about significant objects. In the entity extraction stage, EBLA abstracts information about the significant objects in each video and the relationships among those objects into internal representations called entities. Finally, in the lexical acquisition stage, EBLA extracts the individual lexemes (words) from simple descriptions of each video and attempts to generate entity-lexeme mappings using an inference technique called cross-situational learning. EBLA is not primed with a base lexicon, so it faces the task of bootstrapping its lexicon from scratch. While there have been several systems capable of learning object or event labels for videos, EBLA is the first known system to acquire both nouns and verbs using a grounded computer vision system. EBLA was developed as part of Brian E. Pangburn's dissertation research in the Department of Computer Science at Louisiana State University. The full dissertation along with other information on EBLA is available from http://www.greatmindsworking.com Much of the vision system is based on a partial Java port of the EDISON image processing system developed by Chris M. Christoudias and Bogdan Georgescu at the Robust Image Understanding Laboratory at Rutgers University (http://coewww.rutgers.edu/riul/). See the "seg_readme.txt" file for more information. The graphical user interface (GUI) for EBLA was developed in part by Prasanth R. Pasala. ============================================================================== CODE EXECUTION, DOCUMENTATION, & COMPILATION ============================================================================== This code has been tested using the Java SE 7 This release of EBLA is being distributed as a single JAR file (EBLA_1.0.jar) containing the source, binaries, and JavaDoc documentation. Note that this JAR file only contains the AVI files for the "Animation" Experience Set. Unless you download the full video dataset (see VIDEO DATASET below), you will only be able to run EBLA Sessions for the 1st record on the Parameter Screen. There is a changelog.txt file, which contains changes for EBLA. To extract EBLA, place the JAR file where you would like it installed (e.g. "c:\temp\" or "/home/<username>/") and issue the command: jar -xf EBLA_1.0.jar To run EBLA: 1. navigate to the "scripts" folder/director (e.g. "cd ./ebla/scripts/") 2. type "winrun.bat" (Windows) or "sh linrun" (Linux) To recompile EBLA: 1. navigate to the "scripts" folder/director (e.g. "cd ./ebla/scripts/") 2. type "wincompile.bat" (Windows) or "sh lincompile" (Linux) To generate the JavaDoc documentation for EBLA: 1. navigate to the "scripts" folder/director (e.g. "cd ./ebla/scripts/") 2. type "windocs.bat" (Windows) or "sh lindocs" (Linux) ============================================================================== DATABASE INSTALLATION ============================================================================== The EBLA software framework utilizes an embedded H2 database called ebla for storage of its parameters, dataset, intermediate results, and entity-lexeme mappings. ============================================================================== VIDEO DATASET ============================================================================== EBLA has been evaluated on a small test set of animations created with Macromedia Flash and a much larger test set of real videos. In both cases, the files were delivered to EBLA as AVI files. The set of animations are contained in ./experiences/ subdirectory of the installation directory. The full set of real videos used to evaluate EBLA is just over 326MB (compressed JAR file). It is available from the following link: http://sourceforge.net/projects/ebla/files/EBLA/ebla_experiences.jar/download To install the full test set, simply download the release file ebla_experiences.jar to the EBLA installation directory and type: jar -xf ebla_experiences.jar The full set of videos will be extracted to the ./experiences/ subdirectory. ============================================================================== EBLA INTERFACE ============================================================================== Starting with version 0.6.0-alpha, EBLA is run via a graphical user interface (GUI) developed using Java Swing. For more information see the user's manual, "manual.pdf" in the EBLA installation directory. ============================================================================== RESULTS ============================================================================== While it is possible to analyze results from EBLA on a run-by-run basis using the information in the ebla_data database (e.g. the entity_lexeme_data table), it is generally easier to use the three text files of results generated by EBLA. The three text files are delimited using semicolons and are described below: 1. performance.ssv (one record for each pass through the current set of experiences): loopCount - counter of how many times the entire set of experiences has been processed stdDev - current minimum standard deviation for entity comparisons runNumber - counter of how many times the current set of experiences has been processed for the current minimum standard deviation experienceIndex - total number of experiences processed during current run totalSec - seconds elapsed during current run totalLex - total number of lexemes processed totalUMLex - total number of lexemes NOT mapped to an entity by EBLA totalEnt - total number of entities processed totalUMEnt - total number of entities NOT mapped to a lexeme by EBLA 2. mappings.ssv (one record for each mapped entity in each experience): loopCount - counter of how many times the entire set of experiences has been processed experienceIndex - order that experience was processed during current run resolutionCount - number of experiences elapsed before entity for current experience was resolved 3. descriptions.ssv (one row for every experience for which a description was generated): loopCount - counter of how many times the entire set of experiences has been processed stdDev - current minimum standard deviation for entity comparisons experienceIndex - order that experience was processed during current run generatedDescription - description generated by EBLA for current experience (comma-separated) numCorrect - number of correctly generated lexemes for current experience numWrong - number of incorrectly generated lexemes for current experience numUnknown - number of unknown lexemes for current experience origDescription - original description for current experience (from experience_data table) Note that descriptions.ssv is only generated when EBLA is run in description mode (e.g. generate_desc_code = 1). ============================================================================== MISC ============================================================================== For more information on EBLA, see: http://www.greatmindsworking.com For more information on EDISON, see: http://coewww.rutgers.edu/riul/research/code/EDISON/ For more information on H2, see: http://www.h2database.com For more information on Java, see: http://www.java.com For questions or comments regarding EBLA, send e-mail to Brian E. Pangburn (ebla@greatmindsworking.com)
Source: readme.txt, updated 2014-12-26

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