LINGUIST List 9.638

Fri May 1 1998

Calls: SLA, Multimedia Indexing & Retrieval

Editor for this issue: Anita Huang <>

Please do not use abbreviations or acronyms for your conference unless you explain them in your text. Many people outside your area of specialization will not recognize them. Also, if you are posting a second call for the same event, please keep the message short. Thank you for your cooperation.


  1. GASLA 98, Generative Approaches to SLA IV
  2. Zhongfei Zhang, Multimedia Indexing and Retrieval

Message 1: Generative Approaches to SLA IV

Date: Wed, 29 Apr 1998 15:28:23 -0400 (EDT)
From: GASLA 98 <>
Subject: Generative Approaches to SLA IV

The University of Pittsburgh Department of Linguistics and the Carnegie 
Mellon University Department of Modern Languages present:

The Fourth International Conference on


September 25-26-27, 1998
Pittsburgh, Pennsylvania, USA

	Confirmed Plenary Speakers:	
	o Lydia White, McGill University
 	o Usha Lakshmanan, Southern Illinois University
	o Peter Gordon, University of Pittsburgh

All papers in generative approaches to SLA are welcome, including 
interdisciplinary links with:
	Second language sentence/input processing
	Neuroimaging and second language acquisition
	Links between language change, language contact, and SLA
	Links between generative approaches to SLA and social/cognitive 
		factors affecting SLA

Please send 5 copies of an anonymous abstract (single-spaced, 2 pages 
maximum including examples and references) and a 3 x 5 index card with 
name(s) of author(s), title of paper, affiliation, phone number, and 
e-mail address to:

2816 Cathedral of Learning
University of Pittsburgh
Pittsburgh, PA 15260 USA

Deadline for Pre-Registration: September 5, 1998
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Message 2: Multimedia Indexing and Retrieval

Date: Wed, 29 Apr 1998 17:22:44 -0400 (EDT)
From: Zhongfei Zhang <>
Subject: Multimedia Indexing and Retrieval

 ACM SIGIR'98 Post-Conference Workshop 


 Melbourne, Australia, August 28, 1998

 	 Call for Participation


This workshop will focus on the required functionality, techniques, and
evaluation criteria for multimedia information retrieval systems.
Researchers have been investigating content-based retrieval
from non-text sources such as images, audio and video. Initially, the
focus of these efforts were on content analysis and retrieval
techniques tailored to a specific 
media; more recently, researchers have started to combine attributes
from various media.
The goal of multimedia IR systems is to handle general
queries such as "find outdoor pictures or video of Clinton and Gore discussing
environmental issues". Answering such queries requires intelligent
exploitation of both text/speech and visual content. Multimedia
IR is a very broad area covering both infrastructure issues (e.g. 
efficient storage criteria, networking, client-server models) and
intelligent content analysis and retrieval. Since this is a one-day workshop,
we have chosen three focus areas in the intelligent analysis and retrieval

About the Workshop:

The first focus of this workshop is on integrating
information from various media sources in order to handle multimodal
queries on large, diverse databases. An example of such a collection
would be the WWW. In such cases, a query may be decomposed into a
set of media queries, each involving a different indexing scheme.
The interaction of various media sources that occur in the same
context (e.g., text accompanying pictures, audio accompanying video)
is of special interest; such interaction can be exploited in both the
content analysis and retrieval phases.

The second focus deals with examples of research using content and organization
of multimedia information into semantic classes. 
Users pose and expect a retrieval to provide answers
to semantic questions. In practice this is difficult to achieve. Building
structures that encode semantic information in a fairly domain independent
and robust manner is extremely difficult. A quick review of computer vision
research over the last few years points to this difficulty. In many cases,
image content can be used in conjunction with user interaction and domain
specificity to retrieve semantically meaningful information. However, it
is clear that retrieval by similarity of visual attributes when used
arbitrarily cannot provide semantically meaningful information. For example,
a search for a red flower by color red on a very heterogeneous database
cannot be expected to yeild meaningful results. On the other hand retrieval
of red flowers in a database of flowers can be achieved using color. In
context therefore, examples of research using content and organization
of multimedia information into semantic classes will
be discussed.

Many systems, particularly image and video based
ones require an example picture which can be used as a query (alternatively,
the user may be required to draw a picture). It may be unrealistic to expect
an example image to be always available. Thus, it would be useful to find
ways of generating new queries. Can NLP techniques be combined with computer
vision techniques to generate such queries? Or can multimodal retrieval
techniques be combined to create queries suitable for image, video and
audio retrieval? In general, a question is how can we create realistic
queries for realistic systems.

The third focus of this workshop is on evaluation techniques for
multimedia retrieval. Currently, most researchers are using the
standard evaluation measures defined for text documents; these need to
be extended/modified for multimedia documents. There is also a
high degree of subjectivity involved that needs to be addressed.

We will focus on the following specific topics:

- content analysis and retrieval from various media 
 (text, images, video, audio)
- interaction of modalities (e.g. text, images) in indexing, retrieval 
- effective user interfaces (permitting query refinement etc.)
- evaluation methodologies for multimedia information. We have 
 found that researchers pay insufficient attention to it.
- techniques for relevance ranking
- multimodal query formation/decomposition
- logic formalisms for multimodal queries 
- indexing and retrieval from scanned documents - e.g extracting text 
 from images, word spotting - as a retrieval technique for 
 both handwritten and printed documents.
- testbeds for evaluating multimodal retrieval: it would be nice to
 have some resource sharing here since annotating these, and coming
 up with a good query set are difficult


Two types of participation are expected. Those interested in making a
presentation at this workshop should submit their full papers either in
online postscript version or in hardcopy by regular mail to the
address given below.
The papers should not exceed 5,000 words, including figures,
tables, and references. Those interested in participating, but not
presenting papers, should submit a statement of interest, not to exceed
500 words. This should clearly state what aspect(s) of the workshop
reflect their research interest. These will be used to select panelists.
Both types of submissions are due on
Friday, June 5th. Decisions
will be made no later than Friday, June 26th. In the case of paper submission,
the final camera-ready papers are due on July 24th.
Working notes will be made available to all participants at the workshop.
All the submissions should be sent to:

Prof. Rohini K. Srihari,
CEDAR/SUNY at Buffalo
UB Commons
520 Lee Entrance, Suite 202
Amherst, NY 14228 - 2583


Workshop Chairs (also program chairs)

Rohini K. Srihari, SUNY at Buffalo (
Zhongfei Zhang, SUNY at Buffalo (
R. Manmatha, University of Massachussetts (
S. Ravela, University of Massachussetts (

Program Committee Members:

Shih-Fu Chang (Columbia U., USA)
David Harper (Robert Gordon University, U. K.)
Alex Hauptmann (CMU, USA)
Rakesh Kumar (Sarnoff, USA)
Desai Narasimhalu (ISI, Singapore)
Candace Sidner (Lotus, USA)
Peter Schauble (ETH, Switzerland)


Paper or statement of interest submission: June 5th, 1998
Decision: July 3rd, 1998
Camera-Ready Paper Due: July 24th, 1998
SIGIR Conference: August 24th - 28th, 1998
Workshop: August 29th, 1998

Further Information:

Further questions may be directed to the address above, or go to the
Web page of this workshop at
or the SIGIR Conference main Web Page at
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