A transcoding robust data hiding method for image communication applications

2005-09-14
We present a data embedding method for image communication applications. Our goal is to implement novel multimedia applications such as multi-language captions, interactive programming and title specific features over the existing image communication channel. To this aim, we present a data embedding method for JPEG images which has the desired degree of robustness to transcoding or bitrate adjustments that may take place in the communication channel. The described system is designed for JPEG images but can be extended to MPEG systems.
IEEE International Conference on Image Processing (ICIP 2005)

Suggestions

A Cost-Aware Strategy for Query Result Caching in Web Search Engines
Altıngövde, İsmail Sengör; Ulusoy, Oezguer (2009-01-01)
Search engines and large scale IR systems need to cache query results for efficiency and scalability purposes. In this study, we propose to explicitly incorporate the query costs in the static caching policy. To this end, a query’s cost is represented by its execution time, which involves CPU time to decompress the postings and compute the query-document similarities to obtain the final top-N answers. Simulation results using a large Web crawl data and a real query log reveal that the proposed strategy impr...
A five-level static cache architecture for web search engines
Ozcan, Rifat; Altıngövde, İsmail Sengör; Barla Cambazoglu, B.; Junqueira, Flavio P.; Ulusoy, Ozgur (2012-09-01)
Caching is a crucial performance component of large-scale web search engines, as it greatly helps reducing average query response times and query processing workloads on backend search clusters. In this paper, we describe a multi-level static cache architecture that stores five different item types: query results, precomputed scores, posting lists, precomputed intersections of posting lists, and documents. Moreover, we propose a greedy heuristic to prioritize items for caching, based on gains computed by us...
Multimodal query-level fusion for efficient multimedia information retrieval
Sattari, Saeid; Yazıcı, Adnan (2018-10-01)
Managing a large volume of multimedia data containing various modalities such as visual, audio, and text reveals the necessity for efficient methods for modeling, processing, storing, and retrieving complex data. In this paper, we propose a fusion-based approach at the query level to improve query retrieval performance of multimedia data. We discuss various flexible query types including the combination of content as well as concept-based queries that provide users with the ability to efficiently perform mu...
Using object-oriented materialized views to answer selection-based complex queries
Alhajj, R; Polat, Faruk (1999-09-01)
Presented in this paper is a model that utilizes existing materialized views to handle a wide range of complex selection-based queries, including linear recursive queries. Such queries are complex because it is almost impossible for naive users to predict the formulation of their predicate expressions. Object variables bound to objects in the result of a query are allowed to appear in the predicate of that query. Also, the predicate definition is extended to make it possible to have in the output only a sub...
Improving the performance of Hadoop/Hive by sharing scan and computation tasks
Özal, Serkan; Toroslu, İsmail Hakkı; Doğaç, Asuman; Department of Computer Engineering (2013)
MapReduce is a popular model of executing time-consuming analytical queries as a batch of tasks on large scale data. During simultaneous execution of multiple queries, many oppor- tunities can arise for sharing scan and/or computation tasks. Executing common tasks only once can reduce the total execution time of all queries remarkably. Therefore, we propose to use Multiple Query Optimization (MQO) techniques to improve the overall performance of Hadoop Hive, an open source SQL-based distributed warehouse sy...
Citation Formats
Ç. Candan, “A transcoding robust data hiding method for image communication applications,” presented at the IEEE International Conference on Image Processing (ICIP 2005), Genoa, ITALY, 2005, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55616.